Abstract:
A data storage system comprising a network of PCs each of which includes a cache memory, I/O channel adapter for transmitting data over the channel and a network adapter for transmitting control signals and data over the network. In one embodiment, a method for managing resources in a cache manager ensures consistency of data stored in the distributed cache. In another embodiment, a method for sharing data between two or more heterogeneous hosts including the steps of: reading a record in a format compatible with one computer; identifying a translation module with the second computer; translating the record into a format compatible with the second computer and writing said translated record into a cache memory.

Description:
BACKGROUND OF THE INVENTION 
     1. Field of the Invention 
     This invention relates generally to the field of cached data storage systems and more particularly to a data storage system that permits independent access from local hosts connected via I/O channels and independent access from remote hosts and remote storage systems connected via network links. A network of PCs permits building a high-performance, scalable, data storage system using off-the-shelf components at reduced cost. A configuration manager ensures consistency of data stored in the distributed cache. 
     2. Description of Related Art 
     A typical data processing system generally involves a cached data storage system that connects to local host computers via I/O channels or remote host computers via network links. The purpose of the data storage system is to improve the performance of applications running on the host computer by off loading I/O processing from the host to the data storage system. The purpose of the cache memory in a data storage system is to further improve the performance of the applications by temporarily storing data buffers in the cache so that the references to those buffers can be resolved efficiently as “cache hits”. Reading data from a cache is an order of magnitude faster than reading data from a back end storage device such as a disk. Writing data to a cache is also an order of magnitude faster than writing to a disk. All writes are cache hits because data is simply copied into cache buffers that are later flushed to disks. 
     Prior art data storage systems are implemented using proprietary hardware and very low-level software, frequently referred to as microcode, resulting in expensive and not portable systems. In contrast to the prior art systems, the preferred embodiment of the present invention uses standard hardware and software components. A network of commercial PCs is used to implement a high-performance data storage system. A method using the network of PCs includes an algorithm for a configuration manager that manages access to the distributed cache memory stored in PCs interconnected by the network. 
     Numerous prior art systems and methods exist for managing cache memory in a data storage system. The prior art has suggested several methods for managing cache for channel attached hosts. U.S. Pat. No. 5,717,884, Gzym, et. al., Feb. 2, 1996, Method and Apparatus for Cache Management, discloses data structures and algorithms that use a plurality of slots, each of which is used to store data files. U.S. Pat. No. 5,757,473, Vishlitzky, et. al., Cache Management system using time stamping for replacement queue, Jul. 28, 1998, discloses a method that uses time stamps to manage queues in a cached data storage system. U.S. Pat. No. 5,751,993, Ofek, et. al., May 12, 1998, Cache Management Systems, discloses yet another aspect in queue management algorithms. U.S. Pat. No. 5,600,817, Macon Jr., et. al., Feb. 4, 1997, Asynchronous read-ahead disk caching using multiple disk I/O processes and dynamically variable prefetch length, discloses read-ahead methods in cached storage systems. U.S. Pat. No. 5,758,050, Brady, et. al., May 26, 1998, Reconfigurable data storage system, discloses a method for reconfiguring a data storage system. 
     However, the above systems use very specialized embedded operating systems and custom programming in a very low-level programming language such as assembler. The obvious drawback of the above systems is high cost because assembler-level programming is very time consuming. Another drawback is inflexibility and lack of functionality. For example, some features such as reconfigurability in data storage are very limited in proprietary embedded systems when compared to general purpose operating systems. Finally, networking support is very expensive and limited because it relies on dedicated communication links such as T 1 , T 3  and ESCON. 
     One prior art system using networking of data storage systems is disclosed in U.S. Pat. No. 5,742,792, Yanai, et. al., Apr. 21, 1998, Remote Data Mirroring. This patent discloses a primary data storage system providing storage services to a primary host and a secondary data storage system providing services to a secondary host. The primary storage system sends all writes to the secondary storage system via IBM ESCON, or optionally via T 1  or T 3  communications link. The secondary data storage system provides a backup copy of the primary storage system. Another prior art system is disclosed in U.S. Pat. No. 5,852,715, Raz, et al., Dec. 22, 1998, System for currently updating database by one host and reading the database by different host for the purpose of implementing decision support functions. 
     However, the above systems use dedicated communication links that are very expensive when compared to modern networking technology. Furthermore, the data management model is limited to the primary-node sending messages to the secondary node scenario. This model does not support arbitrary read and write requests in a distributed data storage system. 
     There is a growing demand for distributed data storage systems. In response to this demand some prior art systems have evolved into complex assemblies of two systems, one proprietary a data storage system and the other an open networking server. One such system is described in a white paper on a company web site on Internet. The industry white paper, EMC Data Manager: A high-performance, centralized open system backup/restore solution for LAN-based and Symmetrix resident data, describes two different systems, one for network attached hosts and second for channel attached hosts. The two systems are needed because of the lack of generic networking support. In related products such as Celerra File Server, product data sheets suggest using data movers for copying data between LAN-based open system storage and channel attached storage system. 
     However, the above systems are built from two systems, one for handling I/O channels, and another for handling open networks. Two systems are very expensive even in minimal configuration that must include two systems. 
     In another branch of storage industry, network attached storage systems use network links to attach to host computers. Various methods for managing cache memory and distributed applications for network attached hosts have been described in prior art. U.S. Pat. No. 5,819,292, Hitz, et. al., Method for maintaining consistent states of a file system and for creating user-accessible read-only copies of a file system, Oct. 6, 1998, U.S. Pat. No. 5,64,751, and Burnett, et. al., Jul. 1, 1997, Distributed file system (DFS) cache management system based on file access characteristics, discloses methods for implementing distributed file systems. U.S. Pat. No. 5,649,105, Aldred, et. al., Jul. 15, 1997, Collaborative working in a network, discloses programming methods for distributed applications using file sharing. U.S. Pat. No. 5,701,516, Chen, et. al., Dec. 23. 1997, High-performance non-volatile RAM protected write cache accelerator system employing DMA and data transferring scheme, discloses optimization methods for network attached hosts. However, those systems support only network file systems. Those systems do not support I/O channels. 
     In another application of storage systems, U.S. Pat. No. 5,790,795, Hough, Aug. 4, 1998, Media server system which employs a SCSI bus and which utilizes SCSI logical units to differentiate between transfer modes, discloses a media server that supports different file systems on different SCSI channels. However the system above is limited to a video data and does not support network attached hosts. Furthermore, in storage industry papers, Data Sharing, by Neema, Storage Management Solutions, Vol. 3, No. 3, May, 1998, and another industry paper, Storage management in UNIX environments: challenges and solutions, by Jerry Hoetger, Storage Management Solutions, Vol. 3, No. 4, survey a number of approaches in commercial storage systems and data sharing However, existing storage systems are limited when applied to support multiple platform systems. 
     Therefore, a need exists to provide a high-performance data storage system that is assembled out of standard modules, using off-the-shelf hardware components and a standard general-purpose operating system that supports standard network software and protocols. In addition, the needs exists to provide a cached data storage system that permits independent data accesses from I/O channel attached local hosts, network attached remote hosts, and network-attached remote data storage systems. 
     SUMMARY OF THE INVENTION 
     The primary object of the invention is to provide a high performance, scalable, data storage system using off-the-shelf standard components. The preferred embodiment of the present invention comprises a network of PCs including an I/O channel adapter and network adapter and method for managing distributed cache memory stored in the plurality of PCs interconnected by the network. The use of standard PCs reduces the cost of the data storage system. The use of the network of PCs permits building large, high-performance, data storage systems. 
     Another object of the invention is to provide a distributed cache that supports arbitrary reads and writes arriving via I/O channels or network links, as well as a method for sharing data between two or more heterogeneous host computers using different data formats and connected to a data storage system. The method includes a translation module that inputs a record in a format compatible with the first host and stores the translated record in a data format compatible with the second host. Sharing of data in one format and having a translation module permitting representations in different formats in cache memory provides a means for improving performance of I/O requests and saving disk storage space. 
     In accordance with a preferred embodiment of the invention, a data storage system comprises a network of PCs each of which includes a cache memory, an I/O channel adapter for transmitting data over the channel and a network adapter for transmitting data and control signals over the network. In one embodiment, a method for managing resources in a cache memory ensures consistency of data stored in the distributed cache. In another embodiment, a method for sharing data between two or more heterogeneous hosts includes the steps of: reading a record in a format compatible with one computer; identifying a translation module associated with the second computer; translating the record into the format compatible with the second computer and writing said translated record into a cache memory. 
     The preferred embodiment of the present invention involves a method for building a data storage system that provides superior functionality at lower cost when compared to prior art systems. The superior functionality is achieved by using an underlying general-purpose operating system to provide utilities for managing storage devices, backing data, troubleshooting storage devices and performance monitoring. The lower cost is achieved by relying on standard components. Furthermore, the preferred embodiment of the present invention overcomes the limitations of prior art systems by providing concurrent access for both I/O channel attached hosts and network link attached hosts. 
     The preferred embodiment of this invention uses SCSI channels to connect to local hosts and uses standard network links card such as Ethernet, or ATM to connect to remote hosts. The alternate embodiment of the present invention uses fiber channel link such as Fibre Channel as defined by the Fibre Channel Association, FCA, 2570 West E1 Camino Real, Ste. 304, Mountain View, Calif. 94040-1313 or SSA as defined SSA Industry Association, DEPT H65/B-013 5600 Cottle Road, San Jose, Calif. 95193. Prior art systems such as U.S. Pat. No. 5,841,997, Bleiwess, et. al., Nov. 24, 1998, Apparatus for effecting port switching of fibre channel loops, and U.S. Pat. No. 5,828,475, Bennett, et. al., Oct. 27, 1998, Bypass switching and messaging mechanism for providing intermix fiber optic switch using a bypass bus and buffer, disclosure methods that connects disks and controllers. However, the problems remain in software, solution of which require methods described in the preferred embodiment of the present invention. 
    
    
     The drawings constitute a part of this specification and include exemplary embodiments to the invention, which may be embodied in various forms. 
     BRIEF DESCRIPTION OF THE DRAWINGS 
     FIG. 1 shows data storage systems configurations, 
     FIG. 2 illustrates in block diagram form the alternate embodiment of the data storage system of the present invention; 
     FIG. 2A illustrates in block diagram form the alternate embodiment of the data storage system of the present invention, 
     FIG. 2B illustrates in block diagram form another variation of the alternate embodiment of the present invention; 
     FIG. 3 shows a PC data storage system; 
     FIG. 4 illustrates in data flow diagram form the operations of a data storage system including: FIG. 4A illustrating operations in write exclusive mode, FIG. 4B in read exclusive mode, FIG. 4C in write shared mode, FIG. 4D in read shared mode, FIG. 4E in disk interrupt, FIG. 4F in page flusher; and 
     FIG. 5 illustrates in block diagram form data sharing operations. 
    
    
     DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS 
     Detailed descriptions of the preferred embodiment are provided herein. It is to be understood, however, that the present invention may be embodied in various forms. Therefore, specific details disclosed herein are not to be interpreted as limiting. 
     FIG. 1 illustrates data storage system configurations of the preferred embodiment. The PC data storage system  131  services a plurality of channel attached host processors  111 ,  112  using channels  121 ,  122 , and a plurality of network attached host processors  106 ,  107  using network link  151 , and a plurality of network attached data storage systems  132 ,  133  using network links  152 ,  153 . PC storage system  132  services channel attached hosts  157 ,  158 . 
     Hosts  157  and  158  access a data storage system  131  indirectly via network attached data storage system  132 , thereby off loading communications protocol overhead from remote hosts  157 ,  158 . Hosts  106  and  107  directly access storage system  131  via network link  151  thereby incurring communications protocol overhead on hosts  106 ,  107  and therefore decreasing performance of applications running on said hosts. 
     Host  111  accesses remote disk  181  via local data storage system  131 , network link  153 , and remote data storage system  133  without incurring protocol overhead on host  111 . Host  157  accesses disk  161  via data storage system  133 , network link  152 , and data storage system  131  without incurring protocol overhead on host  157 . Host  106  directly accesses local disk  161  via network link  151  thereby incurring protocol overhead. The disks  191 ,  192  that are attached to hosts  106 ,  107  without a data storage system, cannot be accessed by outside hosts. 
     The preferred embodiment of the present inventions uses well-established technologies such as SCSI channels for I/O traffic and Ethernet link for network traffic. In FIG. 2, the alternate embodiment of the present invention uses fiber channel technology for both I/O traffic and network traffic. The fiber channel connects computers and hard disks into one logical network. In one variation of the alternate embodiment in FIG. 2, the fiber optics link is organized as a Fiber Channel Arbitrated Loop (FCAL). In another variation shown in FIG. 2A, the fiber optics link is organized as a switching network. In yet another variation in FIG. 2B, the fiber channel is organized in two FCAL loops connected via switch. 
     FIG. 3 shows a software architecture and modules of a PC data storage system corresponding to the data storage system  131  in FIG.  1 . Data is received from the hosts  111 ,  112  via I/O channels  121 ,  122  in front-end software module  310  in FIG.  3 . The front-end module  310  handles channel commands and places the results in cache memory  322  in the form of new data or modification to data.already stored on the disk  161 . The cache manager software module  320  calls routines in the configuration manager  340  to ensure consistency of the cache memory in other network attached data storage systems. At some later point in time, the back-end software module  342  invokes a page flusher module to write modified data to disks  161  and  162  and free up cache memory. 
     In FIG. 3, front-end module  310  including I/O adapter driver software has been modified to accept target SCSI I/O requests from host  111  and  112 . Said front-end module handles I/O requests in such a manner wherein hosts  111  and  112  are not aware of a data storage systems. Hosts  111  and  112  issue I/O requests as if it&#39;s going to a standard disk. 
     The presence of fast access cache memory permits front end channels and network links to operate completely independent of the back-end physical disk devices. Because of this front,end/back-end separation, the data storage system  131  is liberated from the I/O channel and network timing dependencies. The data storage system is free to dedicate its processing resources to increase performance through more intelligent scheduling and data transfer network protocol. 
     FIG. 4 shows a flowchart of a data storage system in the process of reading or writing to data volumes stored on disk drives shown in FIG.  3 . The flowchart uses a volume access table  450  (see also FIG. 5) and controlled by the configuration manager. Local operations begin in step  401  where the corresponding front-end module  310  of FIG. 3 allocates a channel and waits for I/O requests from the initiating hosts  111  or  112 . Remote operations begin in step  402 . Depending upon the status of the value in a volume access table  450  the requests are routed either as shown in FIG. 4A for write exclusive mode, FIG. 4B for read exclusive, FIG. 4C for write shared or FIG. 4D for read shared. Concurrently with the processing of I/O operations, the independent page flusher daemon shown in FIG. 4F scans cache memory and writes buffers to disks. Disk interrupt processing is shown in FIG.  4 E. 
     Volume access table ( 450 ) in FIG. 4 contains a mapping between hosts and volumes specifying an access mode value. If the access mode is set to neither shared nor exclusive configuration manager forwards I/O requests directly to disk. In addition to the access mode said volume access table may contain other values that help to manager and improve performance of said data storage system. 
     In another embodiment of this application in FIG. 5, Applicant illustrates yet another application of the volume access table including a translation module for a given host to volume mapping. The translation module is a dynamically loadable library that can be changed, compiled and linked at run-time. Applicant further specifies the translation module in (page 10, In 12). 
     A user of a data storage system can externally set the values and parameters in a volume access table. For each host and volume pair a user can explicitly specify the access mode value. For some applications, where data on a remote volume is accessed infrequently, the user may want to specify other than shared or exclusive in order to disable cache for the remote volume. By disabling caching, the user has entirely eliminated cache coherency traffic for said volume. In a data storage system a user or a system administrator actively monitors and changes the behavior of a cache manager by changing values in a volume access table in order to improve performance of said data storage system. 
     FIG. 4A shows a flowchart of the cache manager  320  (see FIG. 3) as it processes a write request in an exclusive mode. In step  411  of FIG. 4A, the cache manager checks whether the requested buffer is in cache or not. For a cache miss, in step  412 , the cache manager allocates a new buffer for storing data that will be written. For a cache hit, the cache manager branches directly to step  413  where data is copied into the newly allocated buffer. In step  414 , the cache manager calls a configuration manager routine that sends an invalidate request to the list of shared hosts for this particular volume. In step  415 , the cache manager checks the type of a request. For a channel type of a request, the cache manager returns to step  405  to release the channel. For a network type of a request, the cache manager proceeds to release network request in step  419  on the right side of FIG.  4 A. 
     On the right side of FIG. 4A, in step  416 , network interrupt identifies and receives a remote write request. In step  417 , the cache manager calls configuration manager routine to determine the validity of the request. Bad requests are ignored in step  418 . Correct requests proceed to step for  410  for write exclusive processing. Step  415  returns the flow to step  419 , which releases network resources. 
     FIG. 4B shows a flowchart of the cache manager as it processes a read request in an exclusive mode. In step  420 , the cache manager checks whether the requested buffer is in cache or not. For a cache miss, in step  421 , the cache manager allocates a buffer for storing data that will be read in. In step  422 , the cache manager updates the buffer status with read pending. In step  423 , the cache manager starts an operation to read from a hard disk driver and proceeds to release the channel in step  405 . For a cache hit, in step  424 , the cache manager transmits read data and proceeds to release the channel in step  405 . For an identified network request, in step  425 , the cache manager sends back read results in step  429 . 
     On the right side of FIG. 4B, in step  426 , network interrupt identifies and receives a remote write request. In step  427 , the cache manager calls a configuration manager routine that checks the configuration file and ignores bad requests in step  428 . Correct requests proceed to step  420  for read exclusive processing. Step  425  returns the flow to step  429  that sends read results. 
     FIG. 4C shows a flowchart of the cache manager as it processes a write request in a shared mode. In step  430 , the cache manager checks whether the requested buffer is in cache or not. For a cache miss, in step  431 , the cache manager allocates a new buffer for storing data that will be written. For a cache hit, the cache manager branches directly to step  432  where data is copied into the newly allocated buffer. In step  433 , the cache manager updates the buffer status with write pending and proceeds to step  434  to release the channel. In step  435 , the cache manager calls a configuration manager routine that sends a remote write request to the host that holds this particular volume in an exclusive mode. In follow up to step  435 , the cache manager returns to the beginning of FIG.  4 . 
     On the right side of FIG. 4C, the cache manager updates the buffer status with write done in step  444 . The flow begins with the network interrupt that calls configuration manager to validate the request in step  441 . Bad requests are ignored in step  442 . A correct request proceeds to step  443  that checks whether the status of this particular buffer is write pending. If the status is pending, in step  444 , the cache manager updates the buffer status to write done. For any other buffer status, in step  445 , the cache manager updates the status to free. This buffer is released in accordance with the invalidate request that has come from a remote host that holds this volume in an exclusive mode as has been described in FIG.  4 A. 
     FIG. 4D shows a flowchart of the cache manager as it processes a read request in a shared mode. In step  450 , the cache manager checks whether the requested buffer is in cache or not. For a cache miss, in step  452 , the cache manager allocates a buffer for storing data that will be read into. For a cache hit, in step  451 , the cache manager transmits read data and proceeds to step  405  to release the channel. In the case of the cache miss, the cache manager allocates a new buffer in step  452  and updates its status to read pending in step  453 . In step  454 , the cache manager closes the channel with an optimizer that maintains a pool of open channels which are kept open only for the specified amount of time. In step  455 , the cache manager calls configuration manager routine that sends a remote read request to the host that holds this particular volume in an exclusive mode. The operations of the host holding volume in read exclusive mode have been shown in FIG.  4 B. 
     On the right side of FIG. 4D, in step  456 , a network interrupt identifies a remote read result. In step  457 , the cache manager performs an optimized channel open. Depending upon the status of the optimizer that has been initiated in step  454 , the cache manager may immediately get access to the still open channel or, if the optimizer fails, the cache manager may need to reopen the channel. In step  458 , the cache manager transmits read data. In step  459 , the cache manager updates the buffer status to read done and proceeds to step  459  where it releases the channel. 
     FIG. 4E shows a flowchart of the cache manager as it processes a hard disk interrupt request marking the completion of a read or write request. The read request has been started in step  423  in FIG.  4 B. The write request has been started in step  475  in FIG.  4 F. In step  460 , the cache manager checks the type of the hardware interrupt. For a write interrupt in step  46   1 , the cache manager updates the buffer status to write done and releases resources associated with the interrupt. For a read interrupt in step  462 , the cache manager updates the buffer status to read done. In step  463 , the cache manager checks request type of the read operation that has been started in FIG.  4 B. For a channel request, the cache manager proceeds to open a channel in step  466 . In step  467 , the cache manager transmits read data and proceeds to release the channel in step  405 . For a network request in step  464 , the cache manager finds the remote read requests that initiated the request. In step  466 , the cache manager sends read results and ends interrupt processing. 
     FIG. 4F shows a flowchart of a cache memory page flusher. The flusher is a separate daemon running as part of the cache manager. In step  471 , the flusher waits for the specified amount of time. After the delay in step  472 , the flusher begins to scan pages in cached memory. In step  473 , the flusher checks the page status. If the page list has been exhausted in branch no more pages, the flusher returns to step  471  where it waits. If the page status is other than the write pending, the flusher returns to step  472  to continue scanning for more pages. If the page status is write pending, the flusher proceeds to step  474 . In step  474 , the flusher checks the request type. For a channel type, the flusher starts a read operation in step  475  and returns to scan pages in step  472 . For a network type, the flusher checks for the network operations in progress and returns to step  472  for more pages. 
     FIG. 5 shows a data sharing operation between a plurality of heterogeneous host computers. In one embodiment the plurality of hosts includes but is not limited to a Sun Solaris workstation  111 , Windows NT server  112 , HP UNIX  106 , and Digital UNIX  107  each accessing a distinct virtual device respectively  510 ,  520 ,  530  and  540 . Configuration manager,  560  provides concurrency control for accessing virtual devices that are mapped to the same physical device  161 . The configuration manager uses a volume access table  450  that has been shown in FIG.  4 . 
     A virtual device is a method that comprises three operations: initialization, read and write. The initialization operation registers a virtual device in an operating system on a heterogeneous host. Following the registration, the virtual device appears as if it is another physical device that can be brought on-line, offline or mounted a file system. An application program running on the host cannot distinguish between a virtual device and a physical device. 
     For a virtual device, the read operation begins with a read from a physical device followed by a call to a translation module. The translation module inputs a shared record in a original format used on a physical disk and outputs the record in a new format that is specified for and is compatible with a host computer. The write operation begins with a call to a translation module that inputs a record in a new format and outputs a record in a shared format. The translation module is a dynamically loadable library that can be changed, compiled and linked at run-time. 
     The virtual device method described above allows a plurality of heterogeneous host computers to share one copy of data stored on a physical disk. In a data storage system using said virtual device method, a plurality of virtual devices is maintained in cache without requiring a copy of data on a physical disk. 
     While the invention has been described in connection with a preferred embodiment, it is not intended to limit the scope of the invention to the particular form set forth.