# Patent

## Title
Lockless bandwidth management for multiprocessor networking devices

## Abstract

An example embodiment of the invention provides a process for lockless processing of hierarchical bandwidth partitions configurations in multiple processor architectures. In one embodiment, the process runs in an NPU's data plane and receives a packet for a partition from a child partition through a work queue. The process determines a suggested target bandwidth rate for the receiving partition's child partitions, based in part on a count of active child partitions, if a predefined time interval has passed. The process adopts a target bandwidth rate for the receiving partition suggested by the receiving partition's parent partition, if the receiving partition is not a root partition and the predefined time interval has passed. The process then transmits the packet to the receiving partition's parent partition through the work queue, if the receiving partition is not a root partition. Otherwise, the process transmits the packet to a port.

## Background
CROSS-REFERENCE TO RELATED APPLICATIONS
This application makes reference to the following commonly owned U.S. patent applications and patents, which are incorporated herein by reference in their entirety for all purposes:
U.S. patent application Ser. No. 08/762,828 now U.S. Pat. No. 5,802,106 in the name of Robert L. Packer, entitled “Method for Rapid Data Rate Detection in a Packet Communication Environment Without Data Rate Supervision;”
U.S. patent application Ser. No. 08/970,693 now U.S. Pat. No. 6,018,516, in the name of Robert L. Packer, entitled “Method for Minimizing Unneeded Retransmission of Packets in a Packet Communication Environment Supporting a Plurality of Data Link Rates;”
U.S. patent application Ser. No. 08/742,904 now U.S. Pat. No. 6,038,216, in the name of Robert L. Packer, entitled “Method for Explicit Data Rate Control in a Packet Communication Environment without Data Rate Supervision;”
U.S. patent application Ser. No. 09/977,642 now U.S. Pat. No. 6,046,980, in the name of Robert L. Packer, entitled “System for Managing Blow Bandwidth Utilization at Network, Transport and Application Layers in Store and Forward Network;”
U.S. patent application Ser. No. 09/106,924 now U.S. Pat. No. 6,115,357, in the name of Robert L. Packer and Brett D. Galloway, entitled “Method for Pacing Data Flow in a Packet-based Network;”
U.S. patent application Ser. No. 09/046,776 now U.S. Pat. No. 6,205,120, in the name of Robert L. Packer and Guy Riddle, entitled “Method for Transparently Determining and Setting an Optimal Minimum Required TCP Window Size;”
U.S. patent application Ser. No. 09/479,356 now U.S. Pat. No. 6,285,658, in the name of Robert. L. Packer, entitled “System for Managing Flow Bandwidth Utilization at Network, Transport and Application Layers in Store and Forward Network;”
U.S. patent application Ser. No. 09/198,090 now U.S. Pat. No. 6,412,000, in the name of Guy Riddle and Robert L. Packer, entitled “Method for Automatically Classifying Traffic in a Packet Communications Network;”
U.S. patent application Ser. No. 10/015,826 now U.S. Pat. No. 7,013,342 in the name of Guy Riddle, entitled “Dynamic Tunnel Probing in a Communications Network;”
U.S. patent application Ser. No. 10/039,992 now U.S. Pat. No. 7,032,072, in the name of Michael J. Quinn and Mary L. Laier, entitled “Method and Apparatus for Fast Lookup of Related Classification Entities in a Tree-Ordered Classification Hierarchy;”
U.S. patent application Ser. No. 10/155,936 now U.S. Pat. No. 6,591,299, in the name of Guy Riddle, Robert L. Packer, and Mark Hill, entitled “Method For Automatically Classifying Traffic With Enhanced Hierarchy In A Packet Communications Network;”
U.S. patent application Ser. No. 09/206,772, now U.S. Pat. No. 6,456,360, in the name of Robert L. Packer, Brett D. Galloway and Ted Thi, entitled “Method for Data Rate Control for Heterogeneous or Peer Internetworking;”
U.S. patent application Ser. No. 09/198,051, in the name of Guy Riddle, entitled “Method for Automatically Determining a Traffic Policy in a Packet Communications Network;”
U.S. patent application Ser. No. 09/966,538, in the name of Guy Riddle, entitled “Dynamic Partitioning of Network Resources;”
U.S. patent application Ser. No. 11/053,596 in the name of Azeem Feroz, Wei-Lung Lai, Roopesh R. Varier, James J. Stabile, and Jon Eric Okholm, entitled “Aggregate Network Resource Utilization Control Scheme;”
U.S. patent application Ser. No. 10/108,085, in the name of Wei-Lung Lai, Jon Eric Okholm, and Michael J. Quinn, entitled “Output Scheduling Data Structure Facilitating Hierarchical Network Resource Allocation Scheme;”
U.S. patent application Ser. No. 10/236,149, in the name of Brett Galloway and George Powers, entitled “Classification Data Structure enabling Multi-Dimensional Network Traffic Classification and Control Schemes;”
U.S. patent application Ser. No. 10/334,467, in the name of Mark Hill, entitled “Methods, Apparatuses and Systems Facilitating Analysis of the Performance of Network Traffic Classification Configurations;”
U.S. patent application Ser. No. 10/453,345, in the name of Scott Hankins, Michael R. Morford, and Michael J. Quinn, entitled “Flow-Based Packet Capture;”
U.S. patent application Ser. No. 10/676,383 in the name of Guy Riddle, entitled “Enhanced Flow Data Records Including Traffic Type Data;”
U.S. patent application Ser. No. 10/720,329, in the name of Weng-Chin Yung, Mark Hill and Anne Cesa Klein, entitled “Heuristic Behavior Pattern Matching of Data Flows in Enhanced Network Traffic Classification;”
U.S. patent application Ser. No. 10/812,198 in the name of Michael Robert Morford and Robert E. Purvy, entitled “Adaptive, Application-Aware Selection of Differentiated Network Services;”
U.S. patent application Ser. No. 10/843,185 in the name of Guy Riddle, Curtis Vance Bradford and Maddie Cheng, entitled “Packet Load Shedding;”
U.S. patent application Ser. No. 10/917,952 in the name of Weng-Chin Yung, entitled “Examination of Connection Handshake to Enhance Classification of Encrypted Network Traffic;”
U.S. patent application Ser. No. 10/938,435 in the name of Guy Riddle, entitled. “Classification and Management of Network Traffic Based on Attributes Orthogonal to Explicit Packet Attributes;”
U.S. patent application Ser. No. 11/019,501 in the name of Suresh Muppala, entitled “Probing Hosts Against Network Application Profiles to Facilitate Classification of Network Traffic;”
U.S. patent application Ser. No. 11/027,744 in the name of Mark Urban, entitled “Adaptive Correlation of Service Level Agreement and Network Application Performance;”
U.S. patent application Ser. No. 11/241,007 in the name of Guy Riddle, entitled “Partition Configuration and Creation Mechanisms for Network Traffic Management Devices;” and
U.S. patent application Ser. No. 11/694,703, entitled “Data and Control Plane Architecture for Network Application Traffic Management Device”, filed on Mar. 30, 2007.
TECHNICAL FIELD
The present disclosure relates to bandwidth management utilizing multi-core processors.
BACKGROUND
Some networking equipment has both control and data planes. The control plane constitutes the logical and physical interlaces that do not themselves transport network data but that set up, monitor, and control the activities of silicon that does. In some designs for network processing units (NPUs), an application executes on an operating system such as Linux on the control-plane CPU, governing the operation and performing housekeeping activities on behalf of packet engines, e.g., multi-core processors that receive and forward Internet Protocol packets. The connection between the control-plane CPU and the data/forwarding plane packet engines can be as intimate as a local-bus connection to a coprocessor, as straightforward as standard. PCI, or as arm's length as Ethernet or application-specific network fabric.
In the ease of a local bus or of PCI, the control processor can treat the forwarding/data plane processors as specialized peripherals that present, superficially, regular memory-mapped interfaces. In the case of a networked connection between the planes, the fabric interface requires a generic driver (for Ethernet, asynchronous transfer mode, etc.), over which specialized command packets are sent to control the packet processor.
Off-the-shelf NPUs strive to integrate high networking functionality closely tied to the control CPU with local connections. Some early designs, however, have suffered from bandwidth limitations at the control point and in the data plane—data packets can face significant bottlenecks in moving both to and from the control plane, as well as among parallel packet engines within the NPU. Moreover, NPUs with powerful and complex packet-engine sets have proven to be difficult to program. See generally, “Linux is on the NPU Control Plane” by Bill Weinberg, EETimes (posted Feb. 5, 2004).
A “partition” is a term used in network traffic shaping. A partition manages bandwidth for a traffic class' aggregate flows, so that all of the flows for the class are controlled together as one, A “flow” is a specific instance of a connection, session, or packet-exchange activity between hosts. And a “traffic class” is a logical grouping of traffic flows that share the same characteristics—a specific application, protocol, address, or set of addresses.
One can use partitions to: (a) protect mission-critical traffic by guaranteeing that a traffic class always gets a defined amount of bandwidth; (b) limit aggressive, non-critical traffic by allowing that traffic class to consume only a defined amount of bandwidth; (c) divide capacity; and (d) assign bandwidth dynamically to users,
All partitions are defined as hierarchical—that is, partitions can contain partitions. This hierarchical approach enables application management for multiple groups, while controlling the group as a whole. For example, an ISP can subdivide a subscriber's partition with child partitions for each of the subscriber's departments. See generally, Packeteer's Packet Guide for PacketWise.
The token bucket algorithm is an algorithm for network traffic shaping or rate limiting. Typically, a token bucket algorithm is used to control the amount of data that is injected into a network, allowing for “bursts” of data to be sent. A related algorithm is the leaky bucket algorithm. The two algorithms differ principally in that the leaky bucket algorithm imposes a hard limit on the data transmission rate, whereas the token bucket algorithm imposes a limit on the average data transmission rate.
Conceptually, the token bucket algorithm employs a token bucket which contains tokens, each of which might represent a unit of bytes. The network administrator specifies for the algorithm how many tokens are needed to transmit how many bytes and a capacity for the token bucket, say b tokens. Then in some embodiments (e.g., those that transmit packets), the algorithm proceeds as follows: (1) a token is added to the bucket every 1/r seconds for some constant rate r; (2) since the bucket can hold at most b tokens, if a token arrives when the bucket is full, the token is discarded; (3) when a packet of n bytes arrives, n tokens are removed from the bucket, and the packet is sent to the network; and (4) if fewer than n tokens are available, no tokens are removed from the bucket, and the packet is considered to be non-conformant.
The algorithm allows bursts of up to b bytes, but over the long run the output of conformant packets is limited to the constant rate, r. A non-conformant packet might be treated in one of the following ways: (a) it might be dropped; (b) it might be enqueued for subsequent transmission when sufficient tokens have accumulated in the bucket; or (c) it might be transmitted, but marked as being non-conformant, possibly to be dropped subsequently if the network is overloaded.
Hierarchical token bucket (HTB) is a variation on the token bucket algorithm. HTB was implemented by Martin Devera as part of the Linux kernel; the Linux man page for HTB is tc-htb(8). As its name suggests, HTB involves a number of token buckets arranged in a hierarchy. Devera's implementation apparently builds upon the three-color token bucket algorithm described in RFC 2697, A Single Rate Three Color Marker, (September 1999), published by the Internet Engineering Task Force (IETF).
The traditional approach to multi-threaded and multi-process programming is to use locks to synchronize access to shared resources. Synchronization primitives such as mutexes, semaphores, and critical sections are all mechanisms by which a programmer can ensure that certain sections of code do not execute concurrently if doing so would corrupt shared memory structures. If one thread or process attempts to acquire a lock that is already held by another thread, the thread will block until the lock is free.
In contrast to algorithms that protect access to shared data with locks, lock-free algorithms are specially designed to allow multiple threads to read and write shared data concurrently without corrupting it. “Lock-free” refers to the fact that no synchronization primitives such as mutexes or semaphores are involved. Writing a program that uses lock-free data structures is not simply a matter of rewriting the algorithms one would normally protect with a mutex to be lock-free. Because lock-free algorithms are so difficult to write, researchers focus on writing lock-free versions of basic data structures such, as stacks, queues, sets, and hash tables. These allow programs to exchange data between threads or processes asynchronously. Typically, lock-free algorithms are written using atomic primitives that the hardware provides. One such primitive is a producer-consumer ring with begin and end pointers, where the producer only updates end pointers after it writes an entry to the ring, and the consumers only update begin pointers after it consumes an entry from the ring. Other hardware-based atomic queuing mechanisms are typically available in multicore processing environments.
SUMMARY
In particular embodiments, the present invention provides methods, apparatuses, and systems directed to implementation of hierarchical bandwidth partitions in multiple processor environments. In some embodiments, the present invention is further directed to the hierarchical coordination of bandwidth partitions through suggested target bandwidth rates passed from a parent partition to its child partitions. In one particular embodiment, such hierarchical synchronization is implemented with a HTB algorithm that uses an atomic data structure supported by work-order module of a network processor unit.



DESCRIPTION OF THE DRAWINGS
FIG. 1 is a schematic diagram illustrating a computer network environment in which implementations of the invention may operate.
FIGS. 2A and 2B are schematic diagrams illustrating the interconnections between a network application traffic management device and a network processing unit according to particular implementations of the invention.
FIG. 3 is a functional block diagram that shows the components and system architecture of a network application traffic management device and a network processing unit according to one particular implementation of the invention.
FIG. 4A is a schematic diagram illustrating logical processing modules of an application traffic management device according to one particular implementation of the invention.
FIG. 4B is a functional block diagram illustrating a process flow, according to one implementation of the present invention, among various hardware and software modules of a network application traffic management unit.
FIG. 5A is a flow chart setting forth a method, according to one possible implementation of the invention, directed to processing flows at a network processing unit.
FIG. 5B is a flow chart illustrating another example method directed to processing flows at a network processing unit.
FIG. 5C is a flow chart providing an example method directed to processing control messages at a network processing unit.
FIG. 6 is a state diagram, according to a particular implementation of the invention, directed to controlling the sampling of packets, and the rate at which packets are sampled, to a network application traffic management device.
FIG. 7 is a flow chart illustrating a method directed to sampling packets.
FIG. 8 is a flow chart setting forth an example method directed to sampling packets to a control plane.
FIG. 9 is a flow chart illustrating an example method directed to processing received packets sampled by a data plane.
FIG. 10 is a diagram showing a flowchart of a process for passing a packet from a child partition to a parent partition or port, which process might be used with some embodiments of the present invention.
FIG. 11 is a flow chart illustrating an example method directed to updating a token count for a partition.
FIG. 12 is a flow chart illustrating an example method directed to scheduling a packet of a partition for forwarding.
FIG. 13 is a schematic diagram graphically illustrating a hierarchical token bucket scheduling mechanism.



DESCRIPTION OF EXAMPLE EMBODIMENT(S)
The following example embodiments are described and illustrated in conjunction with apparatuses, methods, and systems which are meant to be examples and illustrative, not limiting in scope.
A. Network Environment
FIG. 1 illustrates, for didactic purposes, a network 50, such as wide area network, interconnecting a first network 40a, supporting a central operating or headquarters facility (for example), and a second network 40b, supporting a branch office facility (for example). In one implementation, network 50 may include a MPLS VPN network core interconnecting networks 40a and 40b. Network 50 may also be operably connected to other networks associated with the same administrative domain as networks 40a, 40b, or a different administrative domain. Furthermore, network 50 may allow access to a variety of hosts over the Internet, as well. As FIG. 1 shows, the first network 40a interconnects several hosts or end systems 42, including personal computers and servers, and provides access to resources operably connected to computer network 50 via router 22 and access link 21. Access link 21 is a physical and/or logical connection between two networks, such as computer network 50 and network 40a. The computer network environment, including network 40a and network 50 is a packet-based communications environment, employing TCP/IP protocols (for example), and/or other suitable protocols, and has a plurality of interconnected digital packet transmission stations or routing nodes. First network 40a, and network 40b, can each be a local area network, a wide area network, combinations thereof, or any other suitable network.
As FIG. 1 illustrates, network devices 30, in one implementation, are deployed at the respective edges of networks 40a and 40b. In a particular implementation, network devices 30 are network application traffic management devices operative to manage network application traffic. As discussed below, network application traffic management devices 30 may include a number of different functional modules, such as compression modules, tunneling modules, rate control modules, gateway modules, protocol acceleration modules, and the like. In addition, network application traffic management devices 30 may include functions, such as compression and/or tunneling, where cooperation with a remote device (such as another network application traffic management device) is required, while also performing other functions that can be performed independently. However, the control and data plane system architecture according to the present invention can be integrated into a variety of network devices, such as proxies, firewalls, intrusion detection systems, packet capture or network monitoring equipment, VPN servers, web services network gateways or brokers, and the like.
A.1. Example System Architecture
FIG. 2A illustrates an example system architecture of network application traffic management device 30. In the implementation shown, network application traffic management device 30 comprises an application traffic management unit 200 and a network processing unit 300. Network application traffic management unit 200 may be implemented using existing hardware device platforms and functionality with small software modifications to interact with network processing unit 300. Network processing unit 300 interconnects with application traffic management unit as shown, and is further operably connected to network 50 and LAN 40a. In the implementation shown, network processing unit 300 is a discrete processing unit that does not share memory with network application traffic management unit 200, instead being interconnected via one or more network interfaces. In other implementations, the interconnections between network processing unit 300 and network application traffic management unit 200 can be implemented using other suitable interface technologies, such as other network interface technologies, and bus interfaces (e.g., Peripheral Component Interconnect (PCI) interfaces, and Industry Standard Architecture (ISA) interfaces). Furthermore, network application traffic management unit 200 and network processing unit 300 may be directly interconnected to each other with only network cabling extending between the packet interfaces. In another implementation, the packet interfaces of the network application traffic management unit 200 and network processing unit 300 may be connected to an Ethernet switch or other network fabric. The devices could use layer 2 or 3 tunneling protocols to transmit sampled packets to each other.
As FIG. 2A illustrates network application traffic management unit 200 comprises packet interfaces 216a and 216b, while network processing unit 300 comprises packet interfaces 320a-d. In one implementation, packet interfaces comprise Ethernet interfaces including MAC layer functionality. However, other network interfaces can be used depending on the network environment. Generally, packets received from network 50 on packet interface 320a are transmitted to network 40a from packet interface 320b, and vice versa. Network processing unit 300, generally speaking, may be configured to implement one or more data plane operations on the network traffic transmitted between network 50 and network 40a according to a data plane configuration. As discussed in more detail below, network processing unit 300 is configured to receive packets from network 50 or 40a and selectively sample received packets to application traffic management unit 200 for processing. In one implementation, packets received on packet interface 320a, when sampled, are transmitted from packet interface 320c to packet interface 216a. of network application traffic management unit 200. Network processing unit 300, in one implementation, then processes the packet without waiting for a response from network application traffic management unit 200. In a particular implementation, the network processing unit 300, given that it processes packets according to its current data plane configuration, can continue to process packets even when the control plane crashes and/or reboots. In addition, network application traffic management unit 200 may also be configured to emit probe messages and other messages directed to device discover, network management, and the like, directly as well. Application traffic management unit 200 performs various control plane operations on sampled packets, such as packet classification, policy identification, and the like. Responsive to one or more received sample packets, network application traffic management unit 200 may transmit one or more control messages to network processing unit 300 operative to cause changes to the data plane configuration of the network processing unit. For example, network application traffic management unit 200 may receive sampled packets of a data flow, and classify them to identify one or more policies or controls. Network application traffic management unit 200 may then transmit a control message identifying one or more traffic classification or service types and one or more policies to be applied to packets of the data flow. Network processing unit 300 may then apply the one or more policies to subsequent packets of the same data flow.
Other implementations are possible. For example, network application traffic management unit 200 and network processing unit 300 could be connected using a single pair of packet interfaces. In other implementations, network application traffic management unit 200 and network processing unit 300 could be connected with additional packet interfaces than that shown in FIG. 2A. For example, a packet interface pair between network application traffic management unit 200 and network processing unit 300 could be configured for each packet interface of network processing unit 300 that is connected to a network, such as an internal LAN or a WAN. As FIG. 2B shows, in another implementation, network processing unit 300 could be configured with multiple packet interfaces 320a, 320b, 320e, and 320f for communication with respective networks 50, 40a, 51 & 41a, and multiplex packets transmitted to an network application traffic management unit 200 over a smaller number of packet interfaces 320c and 320d. 
In yet another implementation, a single network application traffic management unit 200 can be connected to multiple network processing units 300 disposed at various points in a network environment. For example, two network processing units 300 could be deployed on separate access links, and communicably coupled to a single network application traffic management unit 200. Conversely, a single network processing unit 300 could be operably coupled to multiple application traffic management units 200. In one such implementation, the network processing unit can be configured to ensure that packets of the same flow are transmitted to the same network application traffic management 200.
A.1.a. Network Application Traffic Management Unit
While network application traffic management unit 200 may be implemented in a number of different hardware architectures, some or all of the elements or operations thereof may be implemented using a computing system having a general purpose hardware architecture such as the one in FIG. 3. In one implementation, network application traffic management unit 200 comprises a processor 202, a cache memory 204, and one or more software applications and drivers directed to the functions described herein. In one implementation, network application traffic management unit 200 includes a high performance input/output (I/O) bus 206 and a standard I/O bus 208. A host bridge 210 couples processor 202 to high performance I/O bus 206, whereas I/O bus bridge 212 couples the two buses 206 and 208 to each other. A system memory 214 and one or more network/communication Interfaces 216 couple to bus 206. Mass storage 218 and I/O ports 220 couple to bus 208. Collectively, these elements are intended to represent a broad category of computer hardware systems, including but not limited to general purpose computer systems based on the Pentium® processor manufactured by Intel Corporation of Santa Clara, Calif., as well as any other suitable processor.
Network interface 216c provides communication between network application traffic management unit 200 and a network through which a user may access management or reporting functions. Mass storage 218 provides permanent storage for the data and programming instructions to perform the above described functions implemented in the system controller, whereas system memory 214 (e.g., DRAM) provides temporary storage for the data and programming instructions when executed by processor 202. I/O ports 220 are one or more serial and/or parallel communication ports that provide communication between additional peripheral devices, which may be coupled to network application traffic management unit 200.
Network application traffic management unit 200 may include a variety of system architectures; and various components of network application traffic management unit 200 may be rearranged. For example, cache 204 may be on-chip with processor 202. Alternatively, cache 204 and processor 202 may be packed together as a “processor module,” with processor 202 being referred to as the “processor core.” Furthermore, certain implementations of the present invention may not require nor include all of the above components. For example, the peripheral devices shown coupled to standard I/O bus 208 may couple to high performance I/O bus 206. In addition, in some implementations only a single bus may exist, with the components of network application traffic management unit 200 being coupled to the single bus. Furthermore, network application traffic management unit 200 may include additional components, such as additional processors, storage devices, or memories.
The operations of the network application traffic management unit 200 described herein are implemented as a series of software routines (see FIGS. 4A and 4b) hosted by network application traffic management unit 200. These software routines comprise a plurality or series of instructions to be executed by a processor in a hardware system, such as processor 202. Initially, the series of instructions are stored on a storage device, such as mass storage 218. However, the series of instructions can be stored on any suitable storage medium, such as a diskette, CD-ROM, ROM, EEPROM, etc. Furthermore, the series of instructions need not be stored locally, and could be received from a remote storage device, such as a server on a network, via network/communication interface 216c. The instructions are copied from the storage device, such as mass storage 218, into memory 214 and then accessed and executed by processor 202.
An operating system manages and controls the operation of network application traffic management unit 200, including the input and output of data to and from software applications (not shown). The operating system provides an interface between the software applications being executed on the system and the hardware components of the system. According to one embodiment of the present invention, the operating system is a real-time operating system, such as PSOS, or LINUX. In other implementations, the operating system may be the Windows® 95/98/NT/XP/Vista operating system, available from Microsoft Corporation of Redmond, Wash. However, the present invention may be used with other suitable operating systems, such as the Apple Macintosh Operating System, available from Apple Computer Inc. of Cupertino, Calif., UNIX operating systems, and the like.
FIG. 4B provides an illustration of the components and functional modules, and data structures, relevant to how packets are processed by network application traffic management unit 200. As FIG. 4B illustrates, network application traffic management unit 200 includes inside NIC receive ring 81a, outside NIC receive ring 81b, inside NIC receive queue 84a, outside NIC receive queue 84b, NIC driver 83, and packet buffer 82. Packet buffer 82 is operative to store packets received at packet interfaces 216a, 216b. To summarize the operations associated with receiving and ultimately processing packets, network interface 216a, for example, receives and stores a packet in packet buffer 82. Network interface 216a also maintains a pointer to the packet in inside NIC receive ring 81a. As discussed more fully below, NIC driver 83 determines whether to queue or otherwise retain the packet, or to discard it. In one implementation, NIC driver 83, operating at periodic interrupts, writes pointers out of inside NIC receive ring 81a and into inside NIC receive queue. Network application traffic management unit 200 operates substantially identically for packets received at outside packet interface 216b. Network device application 75, in one implementation, operates on packets stored in packet buffer 82 by accessing the memory address spaces (pointers) to the packets in inside NIC receive queue 84a and outside NIC receive queue 84b. In one implementation, a sample packet received at inside packet interface 216a is dropped, after processing by network device application, as opposed to being transmitted from outside packet interface 216b. The rings and other data structures supporting the transmission of packets from network interfaces 216a, 216b are not shown.
In one implementation, packet buffer 82 comprises a series of fixed-size memory spaces for each packet (e.g., 50,000 spaces). In other implementations, packet buffer 82 includes mechanisms allowing for variable sized memory spaces depending on the size of the packet. Inside NIC receive ring 81a is a circular queue or ring of memory addresses (pointers) corresponding to packets stored in packet buffer 82. In one implementation, inside NIC receive ring 81a includes 256 entries; however, the number of entries is a matter of engineering and design choice. In one implementation, each entry of inside NIC receive ring 81a includes a field for a memory address, as well as other fields for status flags and the like. For example, one status flag indicates whether the memory address space is empty or filled with a packet. Inside NIC receive ring 81a also maintains head and tail memory addresses, as described below. In one implementation, packet interface 216a also maintains the head and tail memory address spaces in its registers. The head memory address space corresponds to the next available memory space in packet buffer 82 to which the next packet is to be stored. Accordingly, when packet interface 216a receives a packet, it checks the head address register to determine where in the system memory reserved for packet buffer 82 to store the packet. After the packet is stored, the status flag in the ring entry is changed to “filled”. In addition, the system memory returns a memory address for storing the next received packet, which is stored in the next entry in inside NIC receive ring 81a, in addition, the head address register is advanced to this next memory address. The tail memory address space corresponds to the earliest received packet which has not been processed by NIC driver 83. In one implementation, packet interface 216a also maintains a copy of inside NIC receive ring 81a in a memory unit residing on the network interface hardware itself. In one implementation, packet interface 216a discards packets when inside NIC receive ring 81a is full . . . i.e., when the tail and head memory addresses are the same.
As discussed above, NIC driver 83 is operative to read packet pointers from inside NIC receive ring 81a to inside NIC receive queue 84a. In one implementation, NIC driver 83 operates on inside NIC receive ring 81a by accessing the tail memory address to identify the earliest received packet. To write the packet in the inside NIC receive queue 84a, NIC driver 83 copies the memory address into inside NIC receive queue, sets the status flag in the entry in inside NIC receive ring 81a corresponding to the tail memory address to empty, and advances the tail memory address to the next entry in the ring. NIC driver 83 can discard a packet by simply dropping it from inside NIC receive ring 81a, and not writing it into inside NIC receive queue 84a. As discussed more fully below, this discard operation may be performed in connection with random early drop mechanisms, or the load shedding mechanisms, according to those described in commonly-owned U.S. application Ser. No. 10/843,185, entitled “Packet Load Shedding”, filed on May 11, 2004, whose disclosure is incorporated herein by reference for all purposes. Still further, NIC driver 83, in one implementation, is a software module that operates at periodic interrupts to process packets from inside NIC receive ring 81a to inside NIC receive queue 84a. At each interrupt, NIC driver 83 can process all packets in receive ring 81a or, as discussed more fully below, process a limited number of packets. Furthermore, as discussed more fully below, a fairness algorithm controls which of inside NIC receive ring 81a and outside NIC receive ring 81b to process first at each interrupt.
In one implementation, inside NIC receive ring 81a, outside NIC receive ring 81b, inside NIC receive queue 84a, outside NIC receive queue 84b, and packet. buffer 82 are maintained in reserved spaces of the system memory of network application traffic management unit 200. As discussed above, network device application 75, operating at a higher level, processes packets in packet buffer 82 popping packet pointers from receive queues 84a, 84b. The system memory implemented in network application traffic management unit 200, in one embodiment, includes one or more DRAM chips and a memory controller providing the interface, and handling the input-output operations, associated with storing data in the DRAM chip(s). In one implementation, the hardware in network application traffic management unit 200 includes functionality allowing first and second network interfaces 216a, 216b to directly access memory 82 to store inbound packets received at the interfaces in packet buffer. For example, in one implementation, the system chip set associated with network application traffic management unit 200 can include a Direct Memory Access (DMA) controller, which is a circuit that allows for transfer of a block of data from the buffer memory of a network interface, for example, directly to memory 82 without CPU involvement. A variety of direct memory access technologies and protocols can be used, such as standard DMA, first-party DMA (bus mastering), and programmed I/O (PIO). In one implementation, each network interface 216a and 216b is allocated a DMA channel to the memory 82 to store packets received at the corresponding interfaces,
FIG. 4A is a block diagram illustrating functionality, according to one embodiment of the present invention, included in network application traffic management unit 200. In one embodiment, network application 75 of network application traffic management unit 200 comprises packet processor 131, data plane interface module 132, measurement engine 140, traffic classification engine 137, management information base (MIB) 138, and administrator interface 150. The co-pending and commonly owned patents and patent applications identified above describe various functions and operations that can be incorporated into network application traffic management unit 200. Packet processor 131 is operative to detect new data flows and construct data structures including attributes characterizing the data flow. Data plane interface module 132 is operative to generate control messages and transmit them to network processing unit 300, as well as receive packets (control messages and sampled packets) from network processing unit 300 and selectively forward sampled packets to packet processor 131. Traffic classification engine 137 is operative to analyze data flow attributes and identify traffic classes corresponding to the data flows. In one embodiment, traffic classification engine 137 stores traffic classes, in association with pointers to bandwidth utilization controls or pointers to data structures defining such bandwidth utilization controls. Management information base 138 is a database of standard and extended network objects related to the operation of network application traffic management unit 200. Measurement engine 140 maintains measurement data relating to operation of network application traffic management unit 200 to allow for monitoring of bandwidth utilization across access link 21 with respect to a plurality of bandwidth utilization and other network statistics on an aggregate and/or per-traffic-class level. Network application traffic management unit 200, in one embodiment, further includes a persistent data store (not shown), such as a hard disk drive, for non-volatile storage of data.
Administrator interface 150 facilitates the configuration of network application traffic management unit 200 to adjust or change operational and configuration parameters associated with the device. For example, administrator interface 150 allows administrators to select identified traffic classes and associate them with bandwidth utilization controls (e.g., a partition, a policy, etc.). Administrator interface 150, in one implementation, also displays various views associated with a traffic classification scheme and allows administrators to configure or revise the traffic classification scheme. Administrator interface 150 can be a command line interface or a graphical user interface accessible, for example, through a conventional browser on client device 42. In addition, since in one implementation, network processing unit 300 may not be a network addressable device and only responds to control messages transmitted front network application traffic management unit 200, administrator interface 150 provides a unified user interface for network application traffic management unit 200 and network processing unit 300 in the aggregate.
As disclosed in U.S. application Ser. No. 10/843,185, the number of packets in the inside or outside NIC receive queues 84a, 84b can be monitored to signal a possible overload condition. That is when the number of packets in one of the queues exceeds a threshold parameter, network application traffic management unit 200 may perform one or more actions. In one implementation, network application traffic management unit 200 may transmit a message to network processing unit 300 signaling that it is at or near an overload state. As described in more detail below, network processing unit 300 responsive to such a message may stop sampling packets to network application traffic management unit 200 or reduce the rate at winch packets are sampled. Still further, as described in U.S. application Ser. No. 10/843,185, network application traffic management unit 200 may access host database 134 to compare certain observed parameters corresponding to the source hosts identified in received packets, and compare them against corresponding threshold values to determine whether to discard received packets. For example, a host identified as being part of a Denial-of-Service attack may be deemed a “bad host.” In one implementation, network application traffic management unit 200 may transmit control messages to network processing unit 300 directing it to drop packets from an identified bad host.
When network application traffic management unit 200 operates without network processing unit 300 it generally operates to receive packets at a first interface (e.g., packet interface 216a), process the packets, and emit the packets at a second interface (e.g., packet interface 216a), or vice versa. When configured to operate in connection with network processing unit 300, however, network application traffic management unit 200 is configured to receive and process the packets sampled to it, but to drop the packets instead of emitting them. As part of this process, network application traffic management unit 200, in one implementation, receives a sampled packet, processes the packet, and may transmit one or more control messages to network processing unit 300 indicating how subsequent packets of a data flow should be handled.
A.1.b. Network Processing Unit
FIG. 3 also illustrates an example system architecture for a network processing unit 300 according to a particular implementation of the invention. In one implementation, network processing unit 300 comprises a multi-core processor such as the Octeon Plus CN58XX 4 to 16-Core MIPS64-Eased SoCs offered by Cavium Networks of Mountain View, Calif. Of course, any other suitable multi-core processor can be used. In the implementation shown in FIG. 3, network processing unit 300 comprises processor 302 (comprising one to a plurality of processing cores), cache 304 (e.g., L2 cache shared among the processing cores), memory controller 306 and random access memory (RAM) 308. Network processing unit 300, in one implementation, further comprises packet input module 310, I/O bridge 312, packet output module 314, TCP unit 316, scheduler or work order module 318, and packet interfaces 320a-d. Network processing unit 300 may also include other functional modules such as a regular expression unit for string matching, a compression/decompression unit for accelerating network traffic, and an encryption unit. Still further, network processing unit 300, in some implementations, may include multiple multi-core processors.
Although not illustrated, in one implementation, network processing unit 300 may also include a power supply, RJ-45 or other physical connectors, and a chassis separate from network application traffic management unit 200. For example, as discussed above, network processing unit 300 may be a separate physical unit in the form factor of a 1U or 2U appliance. The network processing unit 300 may be used to accelerate and enhance the throughput of an existing network application traffic management device, such as network application traffic management unit 200. In one implementation, without network processing unit 300, application traffic management unit 200 would be directly connected to the network path segment between network 50 and network 40a. For example, packet interface 216a would be operably connected to network 50, while packet interface 216b would be operably connected to network 40a. To increase throughput, however, network processing unit 300 may be interconnected as shown in FIGS. 2 and 3.
Network processing unit 300 can be configured to perform various data plane operations, and to selectively forward packets to application traffic management unit 200. In one possible configuration, application traffic management unit 200 performs higher-level processing of packets of respective data flows to classify the data flows and identify one or more policies to be applied to the data flows. Throughput can be increased, due to the capabilities of the network processing unit 300 to perform data plane operations on packets at wireline or near wireline speeds, and that network application traffic management unit 200 sees only a subset of all packets traversing networks 40a and 50. Accordingly, in one implementation, implementations of the invention provide for an inexpensive and easily deployable solution that accelerates the performance of existing hardware and allows an end-user to preserve investments in existing hardware platforms. In one such implementation, the network processing unit 300 can be distributed with a computer-readable media, such as optically or magnetically recorded disks or tapes, that include one or more software modules that, when installed, modify the operation of the network application traffic management unit 200 to interact with the network processing unit 300 as described herein. The computer-readable media may also include a copy of firmware for the network processing unit 300. In one implementation, network application traffic management unit 200 can store the firmware and provide it to network processing unit 300 during a configuration session. In other implementations, however, the network processing unit 300 and network application traffic management unit 200 may be incorporated into the same chassis.
B. Control Messages
As described herein, network application traffic management unit 200 (Control Plane) and network processing unit 300 (Data Plane) implement a two-way message path by which network application traffic management unit 200 directs network processing unit 300 which policies should be applied to the data flows traversing it. In a particular implementation, network processing unit 300 also returns network statistics, such as Measurement Samples, to be integrated into the measurement and reporting functionality of measurement engine 140 of network application traffic management unit 200. The Control Plane makes the flow decision after completing classification of the flow, including peeking at the data packets as necessary and consulting the policies stored in the traffic classification engine 137. Example network traffic classification mechanisms are described in U.S. application Ser. No. 11/019,501, as well as other patents and patent applications identified above. Still further, as discussed in more detail below, the Control Plane may direct the Data Plane to cache the traffic classification and policy decisions made in connection with a given data flow, and apply the same policies to subsequent data flows that include a set of matching attributes, such as destination network address, port and protocol identifiers.
Control messages between the network application traffic management unit 200 and network processing unit 300, in one implementation, use a specific VLAN to facilitate identification of control messages and other communications between them. In some implementations, VLAN tagging is not employed. Flow Information Messages have the same IP and TCP/UDP protocol headers as the flow they refer to in order to get the same tuple hash from the network processor hardware. Alternatively, flow information messages can be encapsulated in IP-in-IP or Generic Routing Encapsulation (GRE) or other tunneling protocols. Other control messages use specific addresses for the network application traffic management unit 200 and network processing unit 300. These are local to the two units (in one implementation, chosen from the 127 class A address range) and need no configuration.
In a particular implementation, there are 5 types of control messages from the Control Plane to the Data Plane, and 3 types of control messages in the reverse direction. The first message sent to the Control Plane is the SizingData message describing one or more attributes of various operational data structures, such as the sizes of tables. PartitionInfo messages are sent to describe the configuration of partitions, and any subsequent changes. A FlowInfo message is sent when network application traffic management unit 200 decides on the partition and policy to apply to a flow. Two message types, the OverloadStatus and the BadHostInfo inform the Data Plane when the network application traffic management unit 200 enters or leaves an overloaded condition and of any hosts the Load Shedding feature decides are behaving badly.
The three types of messages sent from the Data Plane to the Control Plane are the ReTransmitRequest to recover from possible lost messages or to resynchronize, the MeasurementSample message to transmit measurement samples for the configured traffic classes and partitions, and the LittleNote to transmit status messages to be logged.
Other message types may also be implemented for different functions. For example, one or more message types may be configured for compression functions, such as a message for setting up Layer 3 tunnels with remote nodes, and specifying the compression algorithm to be used. Other message types may include encryption message types as well. In yet other embodiments, network application traffic management unit 200 may store a firmware image for network processing unit 300 and interact (typically during initialization) to determine the firmware image stored on network processing unit 300. Network application traffic management unit 200, if it determines that a firmware update is required, may transmit the firmware image to network processing unit 300 in one to a plurality of control messages.
B.1. SizingData Message
Network application traffic management unit 200 transmits a SizingData message to provide an initial configuration to the network processing unit 300. In a particular implementation, network processing unit 300 simply forwards received packets along the network path to their destination without processing, until it receives a configuration from the network application traffic management unit 200. The SizingData message indicates the capacities of the Control Plane. In a particular implementation, the Data Plane allocates its memory to be aligned with these capacities, such as the number of partitions, the number of supported traffic classes, the number of supported flow blocks. The following illustrates an example format of a SizingData message according to one particular implementation of the invention. In a particular implementation, objects, such as data flows, partitions, and classes are referenced relative to an index and an instance identifier.















typedef struct_ObjectReference {










uint16_t
index;



uint16_t
instance;









} ObjectReference;



typedef struct_SizingData {










uint16_t
type;









#define
kSizingDataType
787











uint16_t
seq;
// sequence number



uint32_t
ipaddr;
// main address





of NATM



uint32_t
ptncount;
// # of partitions



uint32_t
classcount;
// # of





traffic classes



uint32_t
flowcount;
// # of flow blocks



uint16_t
servicecount;
// # of services



uint16_t
triggerexpiration;
// in minutes



uint32_t
triggerlines;
//number of DTP





hash groups









} SizingData, *SizingDataPtr;










The triggerexpiration parameter indicates the length of time that a cached policy decision is valid. In one implementation, a null or zero value indicates that the cached policy decision does not time out. The triggerlines parameter indicates the number of hash groups the Data Plane should allocate in memory.

B.2. PartitionInfo Message
Network application traffic management unit 200 sends PartitionInfo messages when a partition is created, deleted, moved, or resized. A PartitionInfo message can also be transmitted in response to a ReTransmitRequest message sent by the Data Plane (see below).















typedef struct_PartitionInfo {











uint16_t
type;



#define
kPartitionInfoType

789



uint16_t
seq;



ObjectReference
partition;
// this partition



uint8_t
direction;


#define
kInboundDirection
   0


#define
kOutboundDirection
   1



uint8_t
isroot;



uint8_t
action;


#define
kPartitionActionNew
   1


#define
kPartitionActionResize
   2
// linkages





 unchanged


#define
kPartitionActionDetach
   3
// detach, don't





 delete, uses old





 parent


#define
kPartitionActionReattach
   4
// is detached, parent





 is new parent


#define
kPartitionActionDelete
   5
// should be leaf,





 parent is old parent


#define
kPartitionActionRetransmit
   6



uint8_t
isdefault;



ObjectReference
parent;



uint32_t
minbw;



uint32_t
maxbw;









} PartitionInfo, *PartitionInfoPtr;










Some partition attributes in the PartitionInfo message include the minimum (minbw) and maximum (maxbw) bandwidth allocated to the partition, the identity of the parent of the partition, the direction of traffic flow (direction) to which the partition corresponds, and whether the partition is the default partition (isdefault) or root (isroot) for that direction.
B.3. FlowInfo Message
A major aspect of the control functions performed by the Control Plane is embodied in the FlowInfo message sent by the Control Plane when it has decided what policy or policies should be applied to a new data flow. In one implementation, the Control Plane is operative to create a data structure for the flow, and transmit a FlowInfo message to the Data Plane. The FlowInfo message causes the Data Plane to create a flow block, which is a data structure or object for storing various attributes of the data flow. The flow block is identified by a FlowIndex and an instance value. Attributes of the flow block may include one or more of the attributes defined in the FlowInfo message set forth below. The following illustrates attributes that may be included in a FlowInfo message according to one particular implementation of the invention.















typedef struct_FlowInfo {










uint16_t
type;









#define
kFlowInfoType
788











uint16_t
seq;




uint32_t
flowindex;
// identifies flows



uint16_t
flowinstance;



uint16_t
service;
//service





identifier for flow



uint8_t
  serverside;


#define
  kInSide
  0
//server located





inside


#define
  kOutSide
  1
//server located





outside



uint8_t
  sendmore;
// keep sending





packets



unit8_t
  policies[2];


#define
  kPolicyPriority
   0x01


#define
  kPolicyRate
   0x86
// any of these





bits


#define
  kPolicyPassThru
   0x08


#define
  kPolicyDiscard
   0x10


#define
  kPolicyNever
   0x20



ObjectReference
classes[2];
// by direction



ObjectReference
partitions[2];



uint8_t
priorities[2];



unit8_t
trigger;


#define
  kTriggerDont
   0


#define
  kTriggerRemember
   1


#define
  kTriggerRecycled
   2


#define
  kTriggerServiceOnly
   3



uint8_t
direction;
// to hash flow





attribute tuple









} FlowInfo, *FlowInfoPtr;










Each data flow is identified by its FlowIndex, a number uniquely determined by which flow block (TCB or UCB type) was allocated to it by the Control Plane. The FlowInfo message, in a particular implementation, contains the determined policy (for example, one of Priority, Rate, PassThru, Discard, or Never). Still further, the FlowInfo messages may also include a service parameter which is a value that maps to a network application type (such as Oracle® database, FTP, Citrix®, HTTP, and other network applications). The server-side parameter indicates whether the location of the server of the data flow relative to the Data and Control plane. A sewer is typically the host that received the initial packet of the data flow (such as a TCP SYN) from a client host. The inside or outside server determination is based on detection of the initial packets of a data flow and their direction. With reference to FIG. 1, an “inside” server relative to network application traffic management device 30 associated, with network 40a, is a host connected to network 40a, while an outside server host is a host located across network 50. In one particular implementation, there are policies for each direction (“inbound” and “outbound”) or “half-flow” of the traffic flow. There are also two traffic class indices, partition numbers, and priorities in the FlowInfo message. The partition parameter indicates the partition to which the data flow should be associated for each traffic direction, while the priority parameter indicates the priority of the data flow.
The FlowInfo message may also contains control variables related to interaction between the Control Plane and Data Plane relative to the data flow. For example, the Control Plane may set the sendmore variable to false to indicate that the Data Plane should completely take over handling packets of the data flow. For example, as described in more detail below, the Data Plane will continue to sample packets of a data flow to the Control Plane until it receives a FlowInfo message for that data flow, where the sendmore variable is set to “false.” If the sendmore variable is set to true, the Data Plane will continue to sample packets to the Control Plane until the Control Plane transmits another FlowInfo message with sendmore set to false. In a particular implementation, when packet sampling stops for a given data flow is defined by the Control Plane, which can use this mechanism to implement, one or more value added features, such as packet capture. For example, if a data flow hits a traffic class with packet capture enabled, the Control Plane can set sendmore to true and never clear it for the life of the data flow. Anything that required the Control Plane to handle all the packets of a flow could be handled in this manner.
FlowInfo messages may also contain a trigger parameter indicating whether the Control Plane should cache the service identification (service), traffic classification (classes) and policy (partitions, priorities) decisions contained in the FlowInfo message. For example, if the trigger parameter is 0, the Data Plane does not cache this information. If the trigger parameter is 1, the Data Plane caches this information for use in connection with subsequent data flows that match the server-side attributes of the current data flow. Furthermore, the Control Plane may set the trigger parameter to 2, indicating that the Control Plane acknowledges the matching of the data flow to cached information and should not be cached another time. The Control Plane may also set the trigger parameter to 3 to indicate that the flow information (such as network application type) should be cached in the triggering cache, but that default policies (instead of cached policies in the triggering) should be applied. Processing of FlowInfo messages is described in more detail below.
In a particular implementation, FlowInfo messages have the same IP and TCP/UDP protocol headers as the data flow to which they refer. In such a configuration, the network processing unit 300 computes the same hash value for the 5-tuple (see below) of header attributes that are used to identify data flows. Network processing unit 300 has functionalities that allow for the packets of the same data flow to be processed by a common processor core. Addressing the FlowInfo messages in this manner allows the control messages for a flow to be processed by the same processor core handling data packets of the flow. Alternatively, the attributes of the 5-tuple for the data flow can also be included in the FlowInfo message, and the addresses in the headers can correspond to the addresses of the Data Plane and Control Plane.
B.4. OverloadStatus and BadHostInfo Messages
The Control Plane uses the OverloadStatus and BadHostInfo messages to control the flow of sampled packets from the Data Plane. The following defines the formats of the OverloadStatus and BadHostInfo messages according to an implementation of the invention.















typedef struct_OverloadStatus {










uint16_t
type;











#define
kOverloadStatusType
791










uint16_t
seq;



uint8_t
overloaded;









} OverloadStatus, *OverloadStatusPtr;



typedef struct_BadHostInfo {










uint16_t
type;











#define
kBadHostType
792










uint16_t
seq;



uint32_t
ipaddr;



uint8_t
client;



uint8_t
direction;









} BadHostInfo, *BadHostInfoPtr;










In one implementation, the Data Plane is not configured with a “maximum rate” the Control Plane is capable of handling. Rather, the Control Plane learns this from the OverloadStatus messages sent from the Control Plane when it senses an overload condition, such as a threshold, number of packets in one or more receive queues. This signaling scheme allows the Data Plane to automatically adjust to interfacing with other models of a network application traffic management unit 200 or recognizing that different network traffic mixes may place different loads on the classification mechanisms of the Control Plane.
In a particular implementation, the Control Plane also indicates to the Data Plane when hosts are behaving badly. For example, the Control Plane may send a BadHostInfo message to inform the Data Plane of any hosts the Load Shedding feature decides are behaving badly. The Data Plane can reduce or block traffic for a period of time in response to the BadHostInfo messages. In one implementation, the Data Plane can grow the packet rate sampled to the Control Plane (relative to a given host) until it receives a subsequent BadHostInfo message from the Control Plane.
B.5. ReTransmitRequest Message
As discussed above, the Data Plane may also transmit messages to the Control Plane. For example, the Data Plane may send a ReTransmitRequest message that lets the Data Plane ask for a replay of certain of the downward control messages. In a particular implementation, the Data Plane may transmit a ReTransmitRequest message each time it sees an object referenced in a control message for which it has no information. For example, the Data Plane may request a replay of the SizingData message, which may get lost while the Control Plane is booting up, or the OverloadStatus message, which might get lost in an overload condition, and the PartitionInfo message, which is helpful for resynchronization when the Control Plane comes up after the Data Plane. ReTransmitRequest messages also facilitate resynchronization between the Control Plane and the Data Plane in the event of a fault or crash of either the Data Plane or the Control Plane. The following illustrates the format of a ReTransmitRequest message according to one particular implementation of the invention.















typedef struct_ReTransmitRequest {










uint16_t
type;











#define
kRetransmitType
775











uint16_t
seq;




uint16_t
what;
// message type to resend



uint16_t
index;
// partition index (kPartitionInfoType)









} RetransmitRequest, *RetransmitRequestPtr;










B.6. MeasurementSample Message
In one implementation, the Control and Data Planes implement a measurement data signaling scheme to allow measurement engine 140 to maintain network statistics relative to data flows, partitions and traffic classes. In a particular implementation, the Data Plane transmits MeasurementSample messages to the Control Plane such that it can update the values of various statistics it maintains. The following illustrates the format of a MeasurementSample message according to one possible implementation of the invention.















typedef struct_MeasurementSample {










ObjectReference
obj;



uint32_t
packets;



uint32_t
bytes;









} MeasurementSample, *MeasurementSamplePtr;



typedef struct_MeasurementData {










uint16_t
type;









#define
kMeasurementDataType
777










uint16_t
seq;



uint16_t
count;



uint8_t
flavor;









#define
kMeasurementFlavorPartition
1


#define
kMeasurementFlavorClass
2


#define
kMeasurementFlavorService
3










uint8_t
pad;











MeasurementSample
samples[1];
  //count samples





  here









} MeasurementData, *MeasurementDataPtr;










In one implementation, the Data Plane maintains byte and packet counts per traffic class and per partition (excluding the “sampled” packets which the Control Plane has already counted). On a periodic basis, a background task will bundle up samples for active classes and partitions, and forward the data back to the Control Plane for recording in MeasurementSample messages.

B.7. LittleNote Message
For diagnostic purposes, the Control Plane may send log data (such as “printf” output) LittleNote messages. At the Control Plane, the events may be logged into the Control Plane “system event” log as well as copied to any configured syslog servers. The following illustrates the format, of a LittleNote message according to one possible implementation of the invention.















typedef struct_LittleNote {










uint16_t
type;









#define
kLittleNoteType
779










uint16_t
seq;











uint8_t
level;
// SYSLOG_LEVEL









#define
kNoteEmerg
0


#define
kNoteAlert
1


#define
kNoteCrit
2


#define
kNoteErr
3


#define
kNoteWarning
4


#define
kNoteNotice
5


#define
kNoteInfo
6


#define
kNoteDebug
7










uint8_t
pad;



uint16_t
reserved;











char
note[1];
 // null terminated









} LittleNote, *LittleNotePtr;










C. Example Process Flows

FIG. 5A illustrates an example process flow, according to one possible implementation of the invention, executed by the network processing unit 300. When network processing unit 300 receives a packet (502), the hardware of the network processing unit 300 includes a packet parsing logic circuit that parses a received packet and computes a hash of an attribute tuple of the received packet. In one implementation, the tuple comprises the source IP address, destination IP address, source port number, destination port number, and a protocol identifier (such as TCP, UDP, etc.). Network processing unit 300 uses this 5-tuple to identify different data flows between hosts. In one implementation, the values of these fields are arranged in an order, depending on the direction the packet is traveling, to ensure that the resulting hash is the same for data flows of the packet transmitted in either direction. In one implementation, the hardware-computed hash is a 16-bit hash. A secondary longer (e.g., 32-bit) hash, or a hash using a different algorithm, of the same 5-tuple is also computed to identify the data flow. In one implementation, the 16-bit hash computed by hardware may map to one or more secondary hashes. To identify a data flow, the 16-bit hash essentially narrows the search space to a subset of the secondary hashes that are mapped to the 16-bit hash.
As FIG. 5A illustrates, if the received packet is not an IP packet (504), network processing unit 300 forwards the packet along toward its destination from an egress interface that corresponds to the packet interface on which the packet was received (506). In other implementations, network processing unit 300 and the control plane can be configured to process non-IP packets as well. Furthermore, if the received packet is a control message (see above) from the Control Plane (508), network processing unit 300 passes the control message to a process that programs the data plane by changing one or more attributes of the data plane configuration (510). For example, network processing unit 300 may create a flow block in response to a FlowInfo message. The FlowInfo message may identify a partition and a priority for the data flow. In one implementation, flow blocks are identified by the FlowIndex values of FlowInfo messages. See also FIG. 5C, discussed below. Otherwise, network processing unit 300 determines whether it has a flow reference that matches the hash it previously computed for the packet (512). If not, network processing unit 300 creates a flow reference in response to the data packet (514). A flow reference includes a key (typically a hash of the 5-tuple attribute values, see above), a FlowIndex value (indexing into an array or table (or other data structure) of flow blocks, and a flow instance identifier. When initially created, the flow reference includes a null FlowIndex value, which may subsequently be modified to index to a flow block when created. As discussed in connection with FIG. 5B, however, the FlowIndex value may be set to an entry of cached flow information in a triggering cache.
As FIG. 5A illustrates, network processing unit 300 may be configured to sample packets to network application traffic management unit 200 (518), if there is no flow block created for the data flow (516). If there is no flow block for the data flow, network processing unit 300 may apply one or more default policies to the packet (520). For example, network processing unit 300 may assign the packet to a default partition having a maximum bandwidth parameter enforced by scheduler 318. If a flow block exists (516), network processing unit 300 determines whether to sample the packet to network application traffic management unit 200 (522, 524). For example, the sendmore attribute of the flow block may be set to true. In addition, the received packet may be a data flow or connection-terminating packet (such as a TCP FIN or RST). In a particular implementation, network processing unit 300 is configured to transmit connection-initiating (e.g., handshake or TCP SYNs and SYN/ACKs), and connection-terminating packets (e.g., TCP FINs, RSTs, etc.) to allow network application traffic management unit 200 to set up and tear down data structures as required. Lastly, as FIG. 5A illustrates, network processing unit 300 then stores the packet in a flow queue corresponding to the flow reference (526). In one implementation, if there are no packets currently stored in the flow queue, the process generates a message to the partition identified in the flow object (or the default partition), which causes the network processing unit hardware to generate a work entry identifying the partition. As discussed in more detail below, a policy enforcement mechanism schedules packets from the flow queues for output using a hierarchical partition configuration.
In one implementation, the internal processes of network application traffic management unit 200 assume that a data flow has terminated if a packet associated with the data flow has not been encountered in a threshold period of time. Termination of a data flow may cause the network application traffic management unit 200 to tear down various data structures for the data flow (to allow the memory space to be used for other data flows). In such implementations, the network processing unit 300 may be configured to periodically sample packets to network application traffic management unit 200 (even after sendmore has been set to false) to ensure that the network application traffic management unit 200 does not deem the flow terminated. The rate at which these packets are sampled will depend on the configuration of the network application traffic management unit 200 and the threshold values it uses to deem flow terminated. In such an implementation, the decisional logic represented in 522 of FIG. 5A can be augmented to include a check that compares the last sample time to the current time and to conditionally sample the packet if the time difference is greater than a threshold.
C.1. Server-Side Triggered Policies
According to the process flow illustrated in FIG. 5A, the Data Plane applies one or more default policies to new data flows until it receives a FlowInfo message from the Control Plane identifying one or more policies to be applied. FIGS. 5B and 5C illustrate an alternative implementation where the Data Plane may possibly apply cached policies, as opposed to default policies, to new data flows that match one or more criterion, such as server-side related attributes of IP address and port number.
As discussed above, the Data Plane may maintain a set of flow objects in a reserved memory space. The flow objects include flow attribute information and one or more applicable policies (see above). The Data Plane may also reserve memory (a triggering cache) for the caching of flow attribute information for possible re-use for subsequent data flows. As discussed above, the Data Plane may store in a triggering cache certain flow information responsive to the value of the trigger parameter in FlowInfo messages. FIG. 5C illustrates an example process that a Data Plane may apply to a received FlowInfo message. As FIG. 5C shows, when the Data Plane receives a FlowInfo message, it maps the FlowIndex value in the FlowInfo message to a flow object entry in the reserved memory space (560), and saves the flow configuration data in the Flow Block entry (562). If the trigger parameter is set to “remember” (564), the Data Plane then accesses the triggering cache to identify whether a matching entry exists (566). A cache entry may comprise a key value, a time stamp, and flow attribute and configuration information (such as service identifiers, policies and the like). The key comprises a tuple of an IP address, port number and a protocol identifier. In one implementation, the IP address and port number used for the key is determined with reference to the serverside parameter in the FlowInfo message. That is, the Data Plane uses the serverside parameter to identify the IP address and port number of the server of the data flow and uses this information and the protocol identifier to generate the key.
In one implementation, the cache is organized as a set of hash groups, where each hash group includes a set of N cache entries. In addition, each cache entry is also addressed relative to an index value that maps to the memory space reserved for the cache. To identify a possible matching entry, the Data Plane may compute a hash of the key to select a hash group, and then search (possibly computing a secondary hash) the entries for a key that matches. If a matching entry in the cache exists, the Data Plane updates or replaces the flow configuration information in the cache entry and updates the time stamp (568). If no matching entry exists, the Data Plane selects a cache entry within the hash group to store the flow configuration data (570), setting a time stamp as well. If there is no empty slot in the hash group, the Data Plane may use a least-recently used (LRU) algorithm to select an entry based on the value of the time stamps.
The cached flow information may be used for subsequent data flows, where the server-side attributes of the flow match the cached information. In other words, use of the cached flow information may be triggered by the destination (server-side) IP address, destination (server-side) port number and protocol identifier of the initial packet of the data flow. How the Control Plane sets the trigger value of the FlowInfo message may also be specified by one or more policies. The configuration of server-side triggered caching policies can be based on a variety of factors, and can be fully automated, partially automated based on a rule set, and/or manually performed by a network administrator. For example, a network administrator may have configured a traffic classification based on a network application where the server port is static. The Control Plane may set the triggering policy to “remember” (1) by default. In addition, a network administrator may have configured a traffic class with a matching rule based on a host list. In one implementation, the Control Plane might, as a default operation, want the Data Plane to cache the partition and policies for a server found the user-created host list. The traffic classification database of the Control Plane may be configured to associate server-side trigger polices to various network application types. Application of the server-side triggered caching policies can be based on a variety of factors associated with the behavior of the network application or service type and/or other factors, such as the configuration of the network application traffic management device 30. For example, the Control Plane may implement a default rule where server-side triggered policies are implemented for all traffic classifications, except where the traffic classifications are based on network applications that have certain specified behaviors. For example, network applications where data flows use dynamic port number assignments, as FTP data flows, may not be suitable candidates for caching server-side triggered policy information. However, information relevant to FTP control flows can be cached since the server-side port for the control flow is generally static. In addition, a traffic classification database may store a traffic class based on known network applications, such as YouTube, MySpace, among others. Recognizing that the IP address and port number of the sites hosting such network applications is not likely to be dynamic, a server-side trigger policy may be used for the traffic class that causes the trigger value to be set to “remember” when data flows hit that traffic class. Accordingly, packets of subsequent data flows sourced from a client host initiating a connection to a video sharing site at the IP address and port number will hit the cache, causing the cached policies to be applied to the data flows. In addition, server-side triggered caching policies can also be based on whether the network administrator has specified a default policy for a given traffic class, and an exception list (based on client IP address or other attribute). Use of an exception list may indicate that flow information caching may not be suitable. Still further, traffic classification can also be based on attributes that are orthogonal to server-side attributes, such as diffserv or DSCP markings. The Control Plane may be configured to set the trigger policy to “don't” (0) or “service-only” (3) for such traffic classes.
FIG. 5B illustrates a process flow that may be implemented by the Data Plane in connection with server-side triggered policies. The illustrated process is quite similar to that described in connection with FIG. 5A. However, in FIG. 5B, after the Data Plane creates a flow reference, it accesses the triggering cache to determine if a matching cache entry exists (550). To find a match, the Data Plane generates a key comprising the server-side IP address, server-side port number and the protocol identifier contained in the received packet. As discussed above, the Data Plane may hash this key value to identify a hash group, and then search the entries of the hash group to find a matching cache entry. Additionally, a cache hit may also be conditioned on the value of the time stamp in the cache entry relative to a time out value (triggerexpiration) transmitted by the Control Plane in a SizingData control message (see above). If no matching entry is found, the Data Plane operates as discussed above relative to the data flow. If a matching entry is found, however, the Data Plane sets tire Flow Index value in the flow reference to the index value (K) of the matching cache entry, and sets a flag associated with the packet that causes the data plane to insert a header when sampling the packet to the control plane (see FIG. 8, and accompanying description) (552). Accordingly, when the process proceeds to step 516, the flow reference identifies a flow index value, causing the cached policies (partitions and priorities) in the cache entry to be applied (526), as opposed to the default policy (520). However, if the trigger parameter has been set to 3 (ServiceOnly), as discussed above, then the Data Plane applies the default policy. This configuration allows the Data Plane to apply desired or more appropriate policies to the data flow from the first packet, as opposed to later in the data flow. The Data Plane will also continue to sample the packets until a FlowInfo message for the flow is received. Other implementations are possible. For example, after setting the packet flag and flow index value (552), the process flow may proceed directly to sampling the packet (524).
C.2. Packet Sampling
FIGS. 6, 7 and 8 set forth process flows, according to one particular implementation of the invention, directed to sampling packets to network application traffic management unit 200. FIG. 6 is a state diagram showing when, and the aggregate rate at which, packets across all data flows are sampled to network application traffic management unit 200. FIG. 7 illustrates a process implemented by the control plane when sampling packets to network application traffic management unit 200.
As FIG. 6 provides, network processing unit 300 is configured to sample packets to network application traffic management unit 200 at a packet sampling rate (602). If the number of packets to be sampled would exceed the current packet sampling rate, network processing unit 300 samples a subset of the packets. For example, if network processing unit 300 receives during a given interval 100 packets to be sampled per second, and the current sampling rate is 50 packets per second, network processing unit 300 would not sample 50 of the packets in a one-second interval. Selection of which packets to sample or not can be based on one or more sampling policies, the details of which are beyond the scope of this disclosure. As FIG. 6 illustrates, as long as the network processing unit 300 does not receive an OverloadStatus message indicating that network application traffic management unit 200 is overloaded (604), it continues sampling packets at the packet sampling rate, periodically growing the packet sampling rate (606, 608). However, if network processing unit 300 receives an OverloadStatus message indicating that network application traffic management unit 200 is overloaded (604), it stops sampling packets to network application traffic management unit 200 and decreases the packet sampling rate (in one implementation, by half of the current sampling rate) (610). As FIG. 6 shows, network processing unit 300 discontinues packet sampling until it receives an OverloadStatus message indicating that network application traffic management unit 200 is ready to receive packets (612). In the implementation shown, network processing unit 300 may also transmit a ReTransmitRequest (616) asking for an OverloadStatus message at periodic intervals (614).
As illustrated in FIG. 7, network processing unit 300 may be configured to conditionally sample packets to network application traffic management unit 200. For example, if a host identified in the packet is identified as a bad host in a BadHostInfo message (702), network processing unit 300 may drop the packet entirely (703), or pass the packet to a process that decides whether to drop the packet or pass the packet through. Furthermore, if network application traffic management unit 200 is currently overloaded (704), network processing unit 300 does not sample the packet. Otherwise, network processing unit 300 samples the packet to network application traffic management unit 200 (706), and resets a last sample time value of the flow block. The last sample time value can be used to control sample of packets, such as the leaking of packets to network application traffic management unit 200, see above. As discussed above, in one implementation, network processing unit 300 samples the packet by transmitting it to network application traffic management unit 200. Network processing unit 300 then resumes processing of the packet, such as applying one or more policies.
FIG. 8 illustrates an example process directed to sampling packets to the Control Plane, where the Data Plane constructs and inserts service identifying headers into the first packet of a flow. Referring to FIGS. 7 and 8, when the Data Plane samples a packet to the control plane (706), it determines whether the packet of the data flow matches a cache entry (802), and whether the packet flag has been set (803). If so, the Data Plane constructs a header including a service identifier contained in the matching cache entry, and inserts the header into the sampled packet (804). In a particular implementation, the header is a 4-byte header comprising a 16-bit operation code identifying a service hint type, and a 16-bit value of the service identifier. In one implementation, the header is inserted after the MAC layer header, where VLAN tags are normally inserted. The Data Plane then sends the sampled packet to the Control Plane (806), resetting a last sample packet time. When the network interface returns an indication that the sampled packet has been sent (808), the Data Plane, rather than deleting the packet from the buffer, passes the packet to a policy enforcement mechanism (812), removing the header if one has been added (809, 810).
FIG. 9 shows a process that a Control Plane may apply to sampled packets. As FIG. 9 illustrates, when the Control Plane receives a sampled packet (852), it scans for a header including the service hint operation code (854). If a header exists, the Control Plane extracts the service identifier from the header and adds it to a data structure, such as a flow object, for the data flow (856), and passes the sampled packet to the classification mechanism (858). The existence of a service identifier in the flow object indicates to the classification mechanism that service type identification for the data flow has been accomplished. This saves computing resources for other tasks, since the Control Plane need not process tire data flow to identify a service type and can proceed to classifying the data flow.
In the implementation described above, a large portion of the network processing is offloaded to the network processing unit 300, which with its dedicated hardware-level processing features allows for faster processing of network traffic. In the implementation described above, the network processing unit 300 handles network traffic using pre-existing programming. If it does not have a record of a flow and its class, policy, or partition (or matching cached information), it applies defaults to the traffic, and samples the traffic to the network application traffic management unit 200. In this manner, the performance requirements on the network traffic management unit 200 are significantly reduced since it sees only a limited subset of the traffic (typically, the initial packets, one or more leaked packets to prevent flow termination processes of the Control Plane, and possibly terminating packets of a data flow). The network application traffic management unit 200 can classify the traffic folly and report back the class, partition, and policy of the data flow when it is done. In the meantime, the network processing unit 300 continues to use defaults or server-side triggered cached policies until it receives programming for the specific flow. Once programming is received, it handles the traffic using the policies specified by the network application traffic management unit 200. Further, the use of server-side triggered cache policies provides additional advantages. The major work done by the Control Plane is classifying new flows. Another way to offload more cycles from it is to recognize that once the Control Plane has carefully examined a new flow and decided it is a given traffic class, it is likely that the next new flow to the same server IP address and port is also likely to be the same traffic class. Because the Data Plane caches this possibly expensive determination and applies it to subsequent new flows (within a reasonable time) made to the same port on the same server host, much duplicate work is eliminated from the Control Plane, allowing it to handle more new flows per minute. Furthermore, server-side triggered policies also facilitates the application of policies and other operations, such as tunneling and protocol acceleration, where it is desirable to begin with the first packet of the data flow.
D. Data Plane Flow and Partition Processing
Network processing unit 300 also implements bandwidth enforcement functionality to partition bandwidth among data flows. In particular implementations, the bandwidth enforcement and partition scheduling functionality described herein operates separately for each traffic direction. As noted above, network processing unit 300 includes a scheduler or work order module 318, in some embodiments. In embodiments that use the C avium NPU, this work order module 318 might comprise the work order module described in U.S. Patent Application Publication No. 2006/0056406, entitled “Packet Queuing, Scheduling, and Ordering”, which includes a hardware data structure for the ordered and synchronized processing of atomic entries in a FIFO work-queue in parallel. In particular embodiments, the process described below might make use of this hardware data structure in program modules that execute on the NPU's multiple processors. In particular implementations, a work order module schedules work entries for multiple processor cores in a manner where a data structure labeled atomic is operated on by one processor at any given time.
The work order module 318 implements hardware work queuing, hardware work scheduling and tag-based synchronization and ordering to queue and schedule work for the cores. A work queue entry may be added to a work queue by the packet input unit 214 for each packet arrival, and by other processes, such as a processor core executing a partition task. The work queue entry is the primary descriptor that describes work to be performed by the cores Work is defined to be any task to be performed by a core that is identified by an entry on a work queue. The task can include packet processing operations, for example, packet processing operations (such as identifying flow objects, and partition scheduling operations) to be performed on a received packet identified by a work queue entry on a work queue. Each separate packet processing operation is a piece of the work to be performed by a core on the received packet stored in memory. The work order module selects (i.e. schedules) work for a processor and returns a pointer to the work queue entry that describes the work to the processor. Each work entry may have a tag. The tag can be used by the processor to order and synchronize the scheduled work. The tag includes a tag value and a tag type. The tag type indicates how the work is synchronized and ordered. There are three different tag types: ordered (ordering is guaranteed), atomic (ordering and atomicity are guaranteed) and null (no ordering is guaranteed.) A core accesses a data structure (or has a tag) atomically when no other cores can simultaneously access the same data structure. Thus, atomicity guarantees that at most one core has a given tag. The initial, tag associated with the work is dependent on the originator of the work.
The work order module 318 may also include a timer unit used to schedule work for the processors. The timer unit, in one implementation, manages rings having a programmable number of buckets stored in a level 2 cache memory or DRAM, Each bucket stores a list of timer entries. Each timer entry stores a work queue entry pointer. The time period between buckets in each ring is programmable. At each periodic bucket time expiration, the next bucket in the ring is processed and the work defined by the work queue entry pointers stored in the timer entries in the bucket is scheduled.
A processor requests work from work order module 318. Typically, the processor polls the work order module 318 to find work. However, in some cases the work order module 318 can be selected to interrupt the core when it has work for the core. The work order module 318, in one implementation, selects or schedules the work to the core based on the groups from which the core accepts work.
Some embodiments might associate a packet with a work-queue entry and use the entry's 32-bit tag (which can be labeled “atomic”) as an index into an array of partitions (e.g., where a partition might be a struct or class), each of which includes the tag/index of its parent partition, if any (e.g., as a field in a struct or a data member of a data object). Then, in order to transfer a packet from a partition to its parent (or to transfer a newly-arrived, packet to its initial partition), a process might receive a work-queue entry corresponding to a packet from the work queue, perform one or more operations on the partition data structure associated with the atomic tag, identify the atomic tag associated with the parent partition, and add the work-queue entry, modified to include the atomic tag of the parent partition, back onto the work queue maintained by the work order module when it, for example, passes the packet from a child partition to a parent partition. Here it will be appreciated that if two or more work-queue entries have the same tag, only one work entry having that tag can be processed by the NPUs processors at one point in time, according to a particular embodiments of the ordered and synchronized processing described above. In particular implementations, when a processor forwards a packet to a parent partition, it accesses a routine that returns the tag of the parent partition. A work entry including the identified tag is then modified to include this tag and submitted to the work order module.
As discussed above, packets received at the data plane are associated with corresponding data flows based on source and destination attributes of the flow. In a particular implementation, the network processing unit hardware, when it receives a packet on a network interface, reserves memory in a packet buffer space, allocates a work queue entry, and adds a pointer to the received packet stored in the buffer to the work queue entry. The data plane hardware may map a tuple of packet attributes to a tag, which is also added to the work queue entry. As discussed above, this tuple of packet attributes may map to a flow data structure stored in the memory. This flow data structure may identify one or more bandwidth policies, such as a partition and/or a priority. When this work entry is provided to a processor, the processor may map the packet to a partition; the processor may also map the packet to a priority. Still further, for new flows, the data plane may sample one or more packets of a given data flow to the Control Plane, which classifies the data flow and assigns one or more policies (such as a partition and a priority). For such new flows, a default or cached partition may be identified for the data flow. Still further, after a data flow for a given packet has been identified, the network processor stores the work queue entry for the packet in a flow queue. If the queue for the data flow was empty, the processor changes the tag of the work queue entry to the tag corresponding to the partition and resubmits the work entry to the work order module 318. As discussed below, the work order module distributes work entries to processors to perform processes related to the partitions, such as re-configuring the partition or passing a packet to a parent partition.
The partition initially assigned to packet of a data flow may be a leaf partition or a non-leaf partition. The priority indicates the packets priority relative to other packets. In one implementation, each partition comprises N partition queues, where N is the number of priority levels that can be assigned. In one implementation, packets placed on a higher priority queue are selected for processing, relative to a given partition, before lower priority queues. In other implementations, weighted fair queuing algorithms can be used to arbitrate among the priority queues. In some implementations, to promote fairness among data flows, only one packet of a given data flow is processed in the hierarchical partition configuration at a given time. In such embodiments, a work queue-entry (or token packet) might include a pointer to a FIFO flow queue which is accessed to process the next packet in the data flow after the work-queue entry corresponding to a data flow has passed through the root partition.
Some embodiments of that system utilize a partition tree implemented as a hierarchy of independent token buckets, where each partition is a bucket which releases packets at its assigned bandwidth rate and the lowest bucket in the hierarchy is the root partition (e.g., inbound or outbound). In these embodiments, one might think of each bucket as having a “control knob” and as having a “high water mark” and a “low water mark”, which represent configured minimum and maximum settings. In these embodiments, a bucket regularly suggests a target rate to its children. Each of the children will use the suggested target rate provided it is between the child's configured minimum and maximum settings. Since all children receive the same target rate, bandwidth can be fairly shared between them. FIG. 13 is a schematic diagram showing such a hierarchy of buckets, which hierarchy might be used with some embodiments of the present invention.
Further, in some embodiments, the bucket hierarchy uses tokens, with each partition starting with enough tokens to forward N (such as 2) full size packets. Whenever a partition has a packet that it cannot forward immediately due to insufficient tokens, the partition sets a timer for a small period of time (e.g., using a hardware timer). The hardware has a mechanism that, when the timer expires, returns the work entry to a processor for execution. Upon receiving the work entry, the processor implementing the partition determines how many tokens it can add to its bucket and resumes forwarding packets if the added tokens are sufficient to do so. However, other embodiments might employ a leaky bucket algorithm, rather than a token bucket algorithm, to control target rate in conjunction with a hardware timer.
It will be appreciated that such a bucket hierarchy and the partition-centric processing described herein is advantageous for several reasons. A non-root partition is independent insofar as if can autonomously reset its “rate knob” to its parent's current suggested child target rate. This avoids the need do walk-through of the partition tree, resetting all rate knobs at the same time. Moreover, when a partition is configured, it is given an index for its parent. The partition can quickly verify that the index remains valid, before “dripping” a packet down to its parent. If the index is not valid, the partition might use the default root partition and request reprogramming from the control plane. Moreover, the bucket hierarchy prevents CPU cycles from being wasted on update processing for partitions that are not currently receiving traffic.
FIG. 10 is a diagram showing a flowchart of a process for passing a packet from a first partition to a parent partition or a port, which process might be used with some embodiments of the present invention. It will be appreciated that the process shown in FIG. 10 might run on one or more processors of a multiprocessor network processor unit in the data plane. The process flow illustrated in FIG. 10 is executed in connection with a work entry transmitted to a processor core of the multi-core network processing unit. Processor cores perform the process on a partition identified in the work entry and request more work entries from the work order module. In addition to work entries that cause packets to traverse partitions, other work entries may include jobs that cause a processor core to change the configuration of a partition (such as minimum and maximum bandwidth parameters, parent child relationships). In some implementations, these work entries include tags that correspond to the respective partitions on which they operate. It will be appreciated that using the same work order synchronization mechanism for scheduling and configuration of a partition allows altering the partition tree programming without locking the entire or substantial portions of the tree or using other software synchronization mechanisms that could potentially stall packet processing.
In the process's first step 1002, the partition receives a packet from a child partition in the form of a work entry removed from a work queue such as the work queue provided by the work order module of the network processor unit. Alternatively, the partition might be the initial partition, such as a leaf partition, associated with a data flow, in which case it will receive the packet, (i.e., in the form of a work entry) as a packet from a process that associates packets to data flows and adds packets to flow queues (see above). The partition process then goes to step 1004, where a conditional operation is performed. Specifically, the partition process periodically adjusts its target rate and also computes a new suggested target rate for child partitions. In one implementation, at initialization of the network processing unit 300, a task is created that is called at a periodic time interval (such as 1 second). At each periodic time interval, the task is called to increment a global heart beat counter. The partition processes, responsive to detected changes in the heart beat counter, compute new suggested target rates for their respective child partitions (1010) and, for non-root partitions, adopt the child target rate suggested by respective parent partitions within minimum and maximum bandwidth constraints (1006). As discussed below, a partition maintains a count of its active child partitions by incrementing a counter each time a work entry for a packet is flagged with a reserved bit. Child partition processes are configured to set this flag for only one packet after the global counter increments. In this manner, the parent partition estimates the number of active child partitions by accessing the child counter at the global counter interval, which essentially is a count of the child partitions active over the previous interval. In one implementation, the child counter is reset at each global counter interval (1010).
To compute a suggested child target, rate, the partition process divides its target rate by the number of active child partitions (as indicated by the child counter value). In addition, for non-root partitions, the partition process checks the target rate suggested by its parent partition and conditionally adopts it, setting the partition rate to the minimum rate if the suggested is lower than the configured range, or the maximum rate if the suggested rate is higher than the configured range. The partition process then adds tokens to its bucket based on the current target rate for that partition (1012), see below. If the packet is flagged as the first packet from that child partition during the predefined time interval (1014), the partition process increments an active child partition counter (1016) and then schedules the packet for transmission (1018) (see also FIG. 12).
In another implementation, the computation of a suggested target rate for child partitions further accounts for the amount of data stored in a queue for the partition. A partition's “size” is the maximum number of bytes it is allowed to queue. This should normally be adjusted for the partition's configured maximum rate, and it is based on a system's resource allocation scheme. In one implementation, each partition is allowed to store up to 1 second of traffic (gMaxPartitionDelay) at its maximum rate. So, a partition with, a 1 mbps maximum rate (ptn->pMaxRate) would be allowed to store 125 Kbytes (ptn->pMaxBytesQueued) (1 million bits/8 bits-per-byte*1 second). A low water mark (ptn->pLowWaterBytes) for the partition can be defined as 1⁄3 of the size of the partition (ptn->pMaxBytesQueued), while a high water mark (ptn->pHighWaterBytes) can be set to 2⁄3 of the size of the partition. Other high and low water levels can be used. When a packet is received, the partition process drops the packet if the amount of queued data (ptn->pBytesQueued) resulting from adding the packet would exceed the size of the partition. Otherwise, the partition process adds the number of bytes in the packet (packet->length) to ptn->pBytesQueued. When a packet is forwarded, the partition process subtracts packet->length from ptn->pBytesQueued. The following pseudo-code illustrates how a partition may determine the suggested child target rate based on the amount of queued data for the partition. This determination, as above, is computed at each heartbeat or rate adjustment interval.















oldSuggestedTargetRate = ptn−>pChildTargetRate;



newSuggestedTargetRate = ptn−>pTargetRate / ptn−>pNumChildren;



newSuggestedRate = (oldSuggestedTargetRate +



newSuggestedTargetRate) / 2;



if (partition is full) {



 newSuggestedRate = newSuggestedRate / 2;



}



else if (partition is above high water mark) {



 If (partition is filling up (more full than last interval)) {



  newSuggestedRate = newSuggestedRate * 0.8;



 } else if (partition is emptying (less full than last interval)) {



  newSuggestedRate = newSuggestedRate * 0.95;



 }



}



else if (partition is between high and low water mark) {



 If (partition is filling up) {



  newSuggestedRate = newSuggestedRate * 0.99;



 } else if (partition is emptying) {



  newSuggestedRate = newSuggestedRate * 1.01;



 }



}



else if (partition is below low water mark) {



 If (partition is filling up) {



  newSuggestedRate = newSuggestedRate * 1.05;



 } else if (partition is emptying) {



  newSuggestedRate = newSuggestedRate * 1.2;



 }



}



else {



 // partition is empty



  newSuggestedRate = newSuggestedRate * 1.25;



 }



ptn−>pChildTargetRate = newSuggestedRate;










By using the foregoing algorithm, the partition can manage its own children and its queued backlog while still forwarding traffic at the rate its parent partition has advised it to use. It will tend to keep the hierarchical partition configuration working efficiently by avoiding partitions either becoming empty or full too often. Of course, the values used to adjust the child target rate can be tuned for the individual application based on a variety of engineering and design considerations.

In a particular implementation, tokens are implemented in each partition as a counter. The counter contains the number of bytes that the partition is allowed to send without pausing. The counter does not go below zero and, in some implementations, is capped at a maximum number. When a partition is created, it is given a configured amount of “tokens”, and its initial update timestamp is set.

ptn->pLastUpdated=eonGetClockCount( );

ptn->pBytesAllowed=PTN_STARTUP_BYTES_ALLOWED;

ptn->pMaxBytesAllowed=2*(pip->maxbw/8);

This notes that the partition was last updated at the current clock count. It is given a starting number of bytes it can send (PTN_STARTUP_BYTES_ALLOWED, in one implementation, 6000 bytes). It also has a maximum token credit limit based on its maximum configured bandwidth setting. So, for a partition, with a maximum rate setting (pip->maxbw) of 100 mbps, for example, the maximum bytes the partition accumulates would be 25,000,000 bytes, which would drain in 2 seconds at the maximum rate.
FIG. 11 illustrates a method according to one implementation for updating the tokens for a partition. Every time the partition is activated, it updates its own token counter, based on its current target rate. In a particular implementation, it determines how many clock cycles have passed since it was last updated, then it adds in the correct number of new tokens, audit finally checks to make sure it isn't exceeding the allowed limit. As FIG. 11 illustrates, the partition process first determines the number of clock cycles since the last update, where clockNow=eonGetClockCount( ) and clockDiff=clockNow-ptn->pLastUpdated (1030). The partition process then computes the amount of bytes that could be transmitted in the clockDiff time interval based on the current target rate (ptn->pTargetRate) (1032). The partition process then updates the update the time stamp of the partition (ptn->pLastUpdated) (1034) and sets the number of tokens for the partition (ptn->pBytesAllowed) based on the computed number of bytes in step 1032, or the maximum bytes allowed for the partition (ptn->pMaxBytesAllowed) (1036, 1038, 1040).
FIG. 12 sets forth a method directed to scheduling packets of a partition for transmission to either a parent partition or an interface port. When a partition gets a new packet, it queues the packet in a partition queue (1051) and checks to see if it can send it. In one implementation, a priority determines to which partition queue the packet is added. The first check is to determine if a previous packet has already been delayed (1052). If there are no other previous packets stored on the partition queue (1052), the partition process determines whether sufficient tokes exist to forward the packet (1056). If not, the partition process computes a delay interval and sets a timer based on the computed delay interval (1058). The hardware of the network processor unit, as discussed above, has a mechanism that, when the timer expires, returns the work entry to a processor for execution. In one implementation, the delay interval can be computed based on the difference between the size of the packet (packet->length) and the current number of tokens [bytesNeeded=packet->length—ptn->pBytesAllowed], and the current target rate. In one implementation, the delay interval is computed by dividing the number of bytes (tokens) needed to transmit by the current target rate. In another implementation, however, the delay interval can be tuned for the speed of the networks involved. For example, rather than setting up many very short timers that are triggered at short intervals, a longer delay that causes timers to be triggered less frequently can be used. In a multi-gigabit system, such delays are not usually noticeable, and are more efficient for the system to implement. In a particular implementation, if the partition needs (bytesNeeded) less than 2000 bytes, the delay is set, based on the current target rate (ptn->pTargetRate), to allow 2000 bytes (tokens) to be accumulated. In a large system with many partitions, this can be more efficient.
As FIG. 12 illustrates, however, if the partition has enough tokens to send the packet (1056), the partition process deducts tokens from the partition based on the size of the packet (packet->length) (1060), conditionally setting a packet flag if the packet is the first packet forwarded since the last rate update interval (1062, 1064), and forwards the packet to the next partition or port (if the current partition is a root partition) (1066). In one implementation, the partition process can attempt to empty its partition queue (1068) if sufficient tokens exist (1056).
To forward a packet to a parent partition (1026), the partition process accesses a routine that returns the tag corresponding to the parent partition, modifies the work entry for the packet to add the parent partition tag, and resubmits the work entry to the work order module 318. If the partition process currently implements a root partition process, it forwards the packet to a process, by transmitting the work entry, that causes the packet to be transmitted from a network interface. For root partitions, the partition process schedules the packets for transmission from a network interface. When the packet is transmitted, the work entry for the packet is transmitted back to the flow queuing process that deletes the packet from the buffer, and checks whether another packet work entry is stored in the flow queue. If so, the flow queuing process, as discussed above, changes the tag to the initial partition tag, causing the packet to be processed through the hierarchical partition configuration described above and ultimately scheduled for transmission. The embodiments described above can be configured to achieve a number of advantages. For example, since a partition process can be implemented to forward packets without accessing data structures of other partitions (other than to check for suggested rates of parent partitions), the processing described above can be implemented in a multi-processor environment in an efficient manner, such as without soft ware locking or other delay-inducing methods.
In some implementations, the root partition may be implemented by a set of partition processes with different tags. It will be appreciated that a root partition can become a bottleneck since every packet must pass through it. So to prevent such a bottleneck, a particular embodiment employs a technique called “root spreading”. In this technique, a root partition is implemented as a set of k (for example, 4) “ghost partitions”, where each ghost partition comprises 1/k of the total or maximum bandwidth in a given network traffic direction, inbound or outbound, of the root partition. Using this technique, up to 2*k processors in an NPU might be able to simultaneously work on root partition tasks, instead of 2 (i.e., one processor for the inbound root partition and one for the outbound root partition), for a given full-duplex access link. When a child partition passes a packet to a parent partition (1066), it looks up the atomic tag of the parent, accessing a routine that normally returns a tag. For roof partitions, however, each processor, in reserved memory, maintains counters and other information directed to looking up a tag to be used to access a given ghost partition corresponding to the root. In one implementation, each time a processor looks up a tag for a root partition, the processor accesses a counter, c, and increments it. The processor then takes c modulo k which, in connection with the direction (inbound or outbound) indexes to one of the 2*k ghost root partitions to use. The processor then modifies the work entry for the packet to include the tag corresponding to the ghost root partition which is resubmitted to the work order module 318.
Particular embodiments of the above-described process might be comprised of instructions that are stored on storage media. The instructions might be retrieved and executed by a processing system. The instructions are operational when executed by the processing system to direct the processing system to operate in accord with the present invention. Some examples of instructions are software, program code, firmware, and microcode. Some examples of storage media are memory devices, tape, disks, integrated circuits, and servers. The term “processing system” refers to a single processing device or a group of inter-operational processing devices. Some examples of processing devices are integrated circuits and logic circuitry. Those skilled in the art are familiar with instructions, storage media, and processing systems.
Those skilled in the art will appreciate variations of the above-described embodiments that fall within the scope of the invention. In this regard, it will be appreciated that there are many possible orderings of the steps in the process described above and many possible modularizations of those orderings. Further, in embodiments where processing speed is not determinative, the process might run in the control plane rather than the data plane. As a result, the invention is not limited to the specific examples and illustrations discussed above, but only by the following claims and their equivalents.

## Claims

1. An apparatus comprising
one or more network interfaces;
a plurality of processors;
a work order module operative to
maintain a queue of work entries, one or more of the work entries including a task description, a packet pointer, and a tag; and
schedule work entries in the queue for the plurality of processors such that only a single processor of the plurality of processors is provided a work entry labeled with a given tag;

a memory operative to define a hierarchical partition configuration, the hierarchical partition configuration comprising a plurality of partitions, the memory further operative to buffer packets received at the one or more network interfaces;
wherein the plurality of processors, to schedule received packets for transmission according to the hierarchical partition configuration, are each operative to:
receive, from the work order module, an indication of a first work entry, wherein the first work entry is associated with a packet to be processed and includes a tag identifying a partition of the plurality of partitions,
forward the packet corresponding to the first work entry to a parent partition of the identified partition by modifying the first work entry to include a tag of the parent partition, and
resubmit the first modified work entry to the work order module.

2. The apparatus according to claim 1, wherein the plurality of processors are further operative to
periodically access a parent partition data structure corresponding to the parent partition of the partition associated with the tag to identify a suggested target rate.

3. The apparatus according to claim 1, wherein the plurality of processors are further operative to
periodically compute a suggested target rate for child partitions based on a target rate for the partition associated with the tag and the number of active child partitions.

4. The apparatus according to claim 1, wherein the plurality of processors are further operative to
periodically compute a suggested target rate for child partitions based on a target rate for the partition associated with the tag, an amount of data queued for the partition associated with the tag, and the number of active child partitions.

5. The apparatus according to claim 1, wherein the plurality of processors are further operative to conditionally flag the forwarded packet if the packet is the first packet forwarded during a target rate adjustment interval.

6. The apparatus according to claim 1, wherein the plurality of processors are further operative to increment an active child partition counter responsive to a flag associated with the packet set by a child partition of the partition associated with the tag during execution of a previous work entry.

7. The apparatus according to claim 1, wherein the plurality of processors are further operative to
conditionally forward the packet to the parent partition based on a target rate associated with the partition associated with the tag.

8. The apparatus according to claim 1, wherein the plurality of processors are further operative to
add tokens to a token bucket associated with the partition associated with the tag based on a target rate associated with the partition and a last token update time;
conditionally forward the packet to the parent partition based on a size of the packet and a current number of tokens in the token bucket of the partition associated with the tag.

9. The apparatus according to claim 8 wherein the plurality of processors are further operative to add tokens to the token bucket up to a maximum token limit.

10. The apparatus according to claim 8 wherein the plurality of processors are further operative to deduct, responsive to forwarding the packet, tokens from the token bucket of the partition associated with the tag.

11. The apparatus according to claim 8 wherein the plurality of processors are further operative to
place the packet on a partition queue if a number of tokens in the token bucket of the partition associated with the tag is insufficient to transmit the packet; and
compute a delay time based on the target rate of the partition and the size of the packet;
set a timer for the delay time, wherein the timer, when triggered, is operative to return the work entry identifying the partition associated with the tag to the corresponding processor.

12. The apparatus according to claim 11 wherein the partition queue is selected from a plurality of partition queues based on a priority associated with the packet.

13. The apparatus according to claim 11 wherein the delay time used to set the timer is constrained by a minimum delay time.

14. The apparatus according to claim 1 wherein the plurality of processors are further operative to
receive a work entry identifying a packet;
associate the packet with a data flow entry, wherein the flow entry identifies a partition;
place the work entry on a flow queue corresponding to the flow entry.

15. The apparatus according to claim 14 wherein the plurality of processors are further operative to
change the tag of the work entry to a tag corresponding to the partition identified in data flow entry; and
submit the work entry to the work order module.

16. The apparatus according to claim 1 wherein the plurality of processors are further operative to
receive a work entry identifying a packet;
associate the packet with a data flow entry, wherein the flow entry identifies a partition and a priority;
place the work entry on a flow queue corresponding to the flow entry.

17. The apparatus according to claim 16 wherein the plurality of processors are further operative to
change the tag of the work entry to a tag corresponding to the partition identified in data flow entry;
add an indication of the priority to the work entry; and
submit the work entry to the work order module.

18. The apparatus according to claim 1 wherein the plurality of processors are further operative to
schedule, if the partition associated with the tag is a root partition, a packet for transmission from a network interface.

19. A method comprising
maintaining a queue of work entries, one or more of the work entries including a task description, a packet pointer, and a tag; and
scheduling work entries in the queue for a plurality of processors such that only a single processor of the plurality of processors is provided a work entry labeled with a given tag;
maintaining in a memory a hierarchical partition configuration, the hierarchical partition configuration comprising a plurality of partitions;
iteratively executing a partition scheduling process across the plurality of processors, the partition scheduling process comprising
receiving, at a processor of the plurality of processors, an indication of a first work entry, wherein the first work entry is associated with a packet to be processed and includes a tag identifying a partition of the plurality of partitions;
forwarding the packet corresponding to the first work entry to a parent partition of the identified partition by modifying the first work entry to include a tag of the parent partition; and
resubmitting the first modified work entry to a work order module.

20. The method of claim 19 wherein the partition scheduling process further comprises
selecting, if the parent partition of the identified partition is a root partition, a ghost root partition from a plurality of ghost root partitions; and
identifying a tag of the selected ghost root partition.

21. The method of claim 19 wherein the partition scheduling process further comprises
periodically accessing a parent partition data structure corresponding to the parent partition of the partition associated with the tag to identify a suggested target rate.

22. The method of claim 19 wherein the partition scheduling process further comprises
periodically computing a suggested target rate for child partitions based on a target rate for the partition associated with the tag and the number of active child partitions.

23. The method of claim 19 wherein the partition scheduling process further comprises
periodically computing a suggested target rate for child partitions based on a target rate for the partition associated with the tag, an amount of data queued for the partition associated with the tag, and the number of active child partitions.

24. The method of claim 19 wherein the partition scheduling process further comprises conditionally flagging the forwarded packet if the packet is the first packet forwarded during a target rate adjustment interval.

25. The method of claim 19 wherein the partition scheduling process further comprises incrementing an active child partition counter responsive to a flag associated with the packet set by a child partition of the partition associated with the tag during execution of a previous work entry.

26. The method of claim 19 wherein the partition scheduling process further comprises conditionally forwarding the packet to the parent partition based on a target rate associated with the partition associated with the tag.

27. The method of claim 19 wherein the partition scheduling process further comprises
adding tokens to a token bucket associated with the partition associated with the tag based on a target rate associated with the partition and a last token update time;
conditionally forwarding the packet to the parent partition based on a size of the packet and a current number of tokens in the token bucket of the partition associated with the tag.

28. The method according to claim 27 wherein the partition scheduling process further comprises adding tokens to the token bucket up to a maximum token limit.

29. The method according to claim 27 wherein the partition scheduling process further comprises deducting, responsive to forwarding the packet, tokens from the token bucket of the partition associated with the tag.