Abstract:
Data channels of a computer system may be remotely monitored to detect data channel degradation. A monitoring agent on a client may execute script commands on the remote computer system to monitor input/output (I/O) rates of a set of channels. The monitoring agent may compute an average data rate of the data channels and compare the I/O rate of each channel to the average. When the rate of a channel falls below the average by at least a threshold amount, an alert may be generated to indicate to an administrator a possible failure with the data channel.

Description:
FIELD OF THE DISCLOSURE 
       [0001]    The instant disclosure relates to computer networks. More specifically, this disclosure relates to monitoring of computer systems on a computer network. 
       BACKGROUND 
       [0002]    Computer systems, and servers in particular, form an information backbone upon which companies now rely on almost exclusively for data storage, data mining, and data processing. These systems are indispensable for the improved efficiency and accuracy at processing data as compared to manual human processing. Furthermore, these systems provide services that could not be realistically accomplished by human processing. For example, some computer systems execute physical simulations in hours that would otherwise take decades to complete by human computations. As another example, some computer systems store terabytes of data and provide instantaneous access to any of the data, which may include records spanning decades of company operations. 
         [0003]    Monitoring these computers systems is a top priority for their operators and administrators to ensure that the computer systems are continuously available without interruption. These computer systems may demonstrate a coming problem, but if certain parameters of the computer system are not monitored, the corning problem may not be recognized in time for an administrator to take corrective action before a complete failure. For example, data channels in a computer system may experience a reduction in data rate prior to a complete failure of the data channel, However, conventionally there is no monitoring of the data channel data rate. Only after a complete failure would an administrator be alerted to a problem with the data channel, Even then, the administrator would likely not be aware of a problem until several users complained of the data channel failure. Waiting for a total failure of the data channel before taking corrective action causes downtime during which the data channel was unavailable and users were unable to access data. 
       SUMMARY 
       [0004]    Computer systems, such as servers, may be monitored through a script engine executed on a client computer system remote from the servers. The computer system may execute a different operating system than the operating system executing on the server. The monitor may communicate with the server, issue scripts for execution on the server, parse results received from the server, and detect and/or correct conditions on the server that may lead to a failure. 
         [0005]    Monitoring may be programmed once and deployed to any number of systems. The monitoring may continue 24 hours a day, 7 days a week, 365 days a year. In one embodiment, the monitoring may be performed by agentless monitoring. Unlike agents that consume memory, CPU, and disk space in their monitoring efforts, agentless monitoring is achieved at the cost of only a single additional (simulated) user on the target system. Commands submitted are those implemented by the primary system vendor, so customized programs need not me written and maintained. This further reduces monitoring cost and leads to a robust solution that may be evolved over time as needs change. Automated, agentless monitoring has very low impact (footprint) on the system as commands are submitted and the results examined. 
         [0006]    One example of the monitoring includes detection of hardware degradation by monitoring data rates on data channels. Data channels connect a central processor to data sources, such as internal hard drives, internal solid state storage devices, external hard drives, external solid state storage devices, external tape drives, and/or other servers. When a hardware component begins to degrade, either the central processor, the storage device, or a bus processor between the central processor and the storage device, the data rate on the data channel decreases over time until a complete failure of the data channel. Previously, no human operator could repeatedly submit the commands necessary, perform the calculations required, and alert an administrator about the degradation of a data channel. Outright failure would occur before any problem was detected. Periodic console commands may be issued by an agentless monitor to probe a set of channels, average the combined data rates, and compare each channel in turn to this average actual rate. A degraded channel may thereby be identified, when its data rates are much lower than the others. Then, that data channel may be repaired or replaced. Automated detection flags a data channel problem within minutes of poor performance. 
         [0007]    In one embodiment, the monitoring may be performed by generalized, modular code, which executes recursively through a list of channel names that need only be defined once within the compiled source code. This allows for easy maintenance when channel names change over time by allowing a simple mechanism to update their names within the code. To present an open-ended list of channel names to the code module, recursive list processing is employed using, for example, a simple pattern-matching language (SP-AMS). SP-AMS may be activated through use of a special Attribute Change Event Report, which may be implemented as a service and which may generate Message Event Reports in response to the Attribute Change Event Report. This processing may be implemented, in one embodiment, as an extension to the Shared Object Manager Application (SOMA), described in U.S. Pat. No. 6,154,787, which is hereby incorporated by reference. The SOMA may receive an Attribute Change Event Report of channels to examine (minus the channel currently being processed) from the channel monitoring solution and present a reduced list back to the solution as a Message Event Report. This SOMA-generated Message Event Report may appears as a typical console message to SP-AMS without causing disruption to normal console traffic. The effect is to recursively process all channel names, with the recursion being terminated after the last channel has been processed. Adding recursion to SP-AMS allows for elegant solution development, ease of maintenance, and may be applied to many other solutions in the future. 
         [0008]    In one embodiment, channel data rates are expressed as large, 32-bit unsigned integers (e.g., 0 to 4294967296), but SP-AMS integer variables may only store 16-bit signed integers (e.g., −32768 to 32768). To accommodate data structures unable to store large-valued channel data rates an average of the accumulated data rates of all channels may be compared to each channel&#39;s individual data. rate and any channel with data rates far enough below this constantly-updated average may be flagged as potentially degraded. As the data rate disparity grows, the alert may be escalated and the alert&#39;s visibility enhanced by external notification, such as a text message or email message, 32-bit integers may be treated as string values and calculations performed by positive integer conversion to exploit a subtle effect in the storage of integers that allows for much larger numbers to be held in SP-AMS integer variables, such as when strings converted to unsigned integers are not handled the same way internally as 16-bit signed integers. This is one example of a method to allow 32-bit unsigned arithmetic on channel data rates within SP-AMS. 
         [0009]    According to one embodiment, a method may include measuring, by a monitoring agent, a data rate of a set of channels for communication by a remote computer. The method may also include calculating, by the monitoring agent, an average data rate for the set of channels. The method may further include determining, by the monitoring agent, whether any channel of the set of channels is below a threshold amount in reference to the calculated average data rate. The method may also include generating, by the monitoring agent, an alert for a data channel when the data channel is determined to be below the calculated average data rate by the threshold amount. 
         [0010]    According to another embodiment, a computer program product may include a non-transitory computer readable medium. The medium may include code to perform the step of measuring a data rate of a set of channels for communication by a remote computer. The medium may also include code to perform the step of calculating an average data rate for the set of channels. The medium may further include code to perform the step of determining whether any channel of the set of channels is below a threshold amount below the calculated average data rate. The medium may also include code to perform the step of generating an alert for a data channel when the data channel is determined to be below the calculated average data rate by the threshold amount. 
         [0011]    According to yet another embodiment, an apparatus may include a memory and a processor coupled to the memory. The processor may be configured to execute the step of measuring a data rate of a set of channels for communication by a remote computer. The processor may also be configured to perform the step of calculating an average data rate for the set of channels. The processor may further be configured to perform the step of determining, by the monitoring agent, whether any channel of the set of channels is below a threshold amount in reference to the calculated average data rate. The processor may also be configured to perform the step of generating an alert for a data channel when the data channel is determined to be below the calculated average data rate by the threshold amount. 
         [0012]    The foregoing has outlined rather broadly the features and technical advantages of the present invention in order that the detailed description of the invention that follows may be better understood. Additional features and advantages of the invention will be described hereinafter that form the subject of the claims of the invention. It should be appreciated by those skilled in the art that the conception and specific embodiment disclosed may be readily utilized as a basis for modifying or designing other structures for carrying out the same purposes of the present invention. It should also be realized by those skilled in the art that such equivalent constructions do not depart from the spirit and scope of the invention as set forth in the appended claims. The novel features that are believed to be characteristic of the invention, both as to its organization and method of operation, together with further objects and advantages will be better understood from the following description when considered in connection with the accompanying figures. It is to be expressly understood, however, that each of the figures is provided for the purpose of illustration and description only and is not intended as a definition of the limits of the present invention. 
     
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         [0013]    For a more complete understanding of the disclosed system and methods, reference is now made to the following descriptions taken in conjunction with the accompanying drawings. 
           [0014]      FIG. 1  is a flow chart illustrating a method of monitoring data channel data rates according to one embodiment of the disclosure. 
           [0015]      FIG. 2  is a call diagram illustrating agentless monitoring of data channel data rates according to one embodiment of the disclosure, 
           [0016]      FIG. 3  is a flow chart illustrating monitoring data channel data rates with recursion according to one embodiment. 
           [0017]      FIG. 4  is a block diagram illustrating a computer network according to one embodiment of the disclosure. 
           [0018]      FIG. 5  is a block diagram illustrating a computer system according to one embodiment of the disclosure. 
       
    
    
     DETAILED DESCRIPTION 
       [0019]      FIG. 1  is a flow chart illustrating a method of monitoring data channel data rates according to one embodiment of the disclosure. A method  100  begins at block  102  with measuring a data rate of each channel of a set of channels on a remote computer. For example, a monitoring agent may initiate a communications session to a remote computer and execute script commands to obtain the data rates of a set of channels on the remote computer. At block  104 , an average data rate may be calculated for the set of channels. Then, at block  106 , it is determined whether any channel of the set of channels is below a threshold amount below the calculated average. For example, if the calculated average for the set of channels is 1.0 Mb/s and the threshold is 500 kb/s, then any channel with a data rate below 500 kb/s may be flagged for an alert. At block  108 , an alert is generated for any channel flagged at block  106 . The alert may include, for example, a text message or an email to one or more administrators. 
         [0020]      FIG. 2  is a call diagram illustrating agentless monitoring of data channel data rates according to one embodiment of the disclosure. A monitoring agent  204  may execute on a client  202 . The client  202  may host a number of monitors, such as by executing each monitor in a hosted environment. The monitor  204  may initiate a communication session with a server  206  at call  212 . At call  214 , scripted commands are transmitted to the server  206 . One set of example scripted commands for measuring data rates is illustrated in script  214 A. The scripted commands may be selected from sets of scripted commands programmed into the monitor and set to execute at specific times or specific intervals based, at least in part, on the computer name or computer type of the server  206 . At call  216 , the server  206  executes the scripted commands. The scripted commands may be executed, for example, through a simulated user on the server  206 . Executing through a simulated user allows the scripted commands to be executed on the server  206  without any additional software loaded on the server  206 . At call  218 , results from the scripted commands are transmitted from the server  206  to the monitor  204 . One set of example results is illustrated in results  218 A. The monitor  204  then calculates an average and compares the channels to the average for determining whether to generate an alert for a data channel at call  220 . 
         [0021]      FIG. 3  is a flow chart illustrating monitoring data channel data rates with recursion according to one embodiment. A method  300  begins at block  302  with executing periodic channel input/output (I/O) rate commands on the remote computer to monitor a set of channels. At block  304 , SP-AMS receives the results of the rate commands at block  302  and saves a copy of all channel names and sends the channel names to SOMA with an AC Event Report. Then, at block  306 , SOMA presents the channel list to SP-AMS as an ME Event Report. At block  308 , SP-AMS recursively builds an average data rate for the set of channels by passing one less channel to SOMA until the channel name list is exhausted. At block  310 , SOMA receives the channel list and presents it to SP-AMS as an ME Event Report. Then, at block  312 , SP-AMS recursively compares each channel to the average I/O rate and sends a reduced set to SOMA until the list is exhausted. At block  314 , an alert is generated if a degraded channel is found, indicated by an I/O rate below the average by at least a threshold amount. 
         [0022]      FIG. 4  illustrates one embodiment of a system  400  for an information system, including a system for agentless monitoring of data channels. The system  400  may include a server  402 , a data storage device  406 , a network  408 , and a user interface device  410 . In a further embodiment, the system  400  may include a storage controller  404 , or storage server configured to manage data communications between the data storage device  406  and the server  402  or other components in communication with the network  408 . In an alternative embodiment, the storage controller  404  may be coupled to the network  408 . 
         [0023]    In one embodiment, the user interface device  410  is referred to broadly and is intended to encompass a suitable processor-based device such as a desktop computer, a laptop computer, a personal digital assistant (PDA) or tablet computer, a smartphone, or other mobile communication device having access to the network  408 . In a further embodiment, the user interface device  410  may access the Internet or other wide area or local area network to access a web application or web service hosted by the server  402  and may provide a user interface for specifying the threshold for alerts or viewing I/O rates for data channels. 
         [0024]    The network  408  may facilitate communications of data between the server  402  and the user interface device  410 . The network  408  may include any type of communications network including, but not limited to, a direct PC-to-PC connection, a local area network (LAN), a wide area network (WAN), a modem-to-modem connection, the Internet, a combination of the above, or any other communications network now known or later developed within the networking arts which permits two or more computers to communicate. 
         [0025]      FIG. 5  illustrates a computer system  500  adapted according to certain embodiments of the server  402  and/or the user interface device  410 . The central processing unit (“CPU”)  502  is coupled to the system bus  504 . The CPU  502  may be a general purpose CPU or microprocessor, graphics processing unit (“GPU”), and/or microcontroller. The present embodiments are not restricted by the architecture of the CPU  502  so long as the CPU  502 , whether directly or indirectly, supports the operations as described herein. The CPU  502  may execute the various logical instructions according to the present embodiments. 
         [0026]    The computer system  500  may also include random access memory (RAM)  508 , which may be synchronous RAM (SRAM), dynamic RAM (DRAM), synchronous dynamic RAM (SDRAM), or the like. The computer system  500  may utilize RAM  508  to store the various data structures used by a software application. The computer system  500  may also include read only memory (ROM)  506  which may he PROM, EPROM, EEPROM, optical storage, or the like. The ROM may store configuration information for booting the computer system  500 . The RAM  508  and the ROM  506  hold user and system data, and both the RAM  508  and the ROM  506  may be randomly accessed. 
         [0027]    The computer system  500  may also include an input/output (I/O) adapter  510 , a communications adapter  514 , a user interface adapter  516 , and a display adapter  522 . The I/O adapter  510  and/or the user interface adapter  516  may, in certain embodiments, enable a user to interact with the computer system  500 . In a further embodiment, the display adapter  522  may display a graphical user interface (GUI) associated with a software or web-based application on a display device  524 , such as a monitor or touch screen. 
         [0028]    The I/O adapter  510  may couple one or more storage devices  512 , such as one or more of a hard drive, a solid state storage device, a flash drive, a compact disc (CD) drive, a floppy disk drive, and a tape drive, to the computer system  500 . According to one embodiment, the data storage  512  may be a separate server coupled to the computer system  500  through a network connection to the I/O adapter  510 . The communications adapter  514  may be adapted to couple the computer system  500  to the network  408 , which may be one or more of a LAN, WAN, and/or the Internet. The user interface adapter  516  couples user input devices, such as a keyboard  520 , a pointing device  518 , and/or a touch screen (not shown) to the computer system  500 . The keyboard  520  may be an on-screen keyboard displayed on a touch panel. The display adapter  522  may be driven by the CPU  502  to control the display on the display device  524 . Any of the devices  502 - 522  may be physical and/or logical. 
         [0029]    The applications of the present disclosure are not limited to the architecture of computer system  500 . Rather the computer system  500  is provided as an example of one type of computing device that may be adapted to perform the functions of the server  402  and/or the user interface device  410 . For example, any suitable processor-based device may be utilized including, without limitation, personal data assistants (PDAs), tablet computers, smartphones, computer game consoles, and multi-processor servers. Moreover, the systems and methods of the present disclosure may be implemented on application specific integrated circuits (ASIC), very large scale integrated (VLSI) circuits, or other circuitry. In fact, persons of ordinary skill in the art may utilize any number of suitable structures capable of executing logical operations according to the described embodiments. For example, the computer system  600  may be virtualized for access by multiple users and/or applications. 
         [0030]    If implemented in firmware and/or software, the functions described above may be stored as one or more instructions or code on a computer-readable medium. Examples include non-transitory computer-readable media encoded with a data structure and computer-readable media encoded with a computer program. Computer-readable media includes physical computer storage media. A storage medium may be any available medium that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store desired program code in the form of instructions or data structures and that can be accessed by a computer. Disk and disc includes compact discs (CD), laser discs, optical discs, digital versatile discs (DVD), floppy disks and blu-ray discs. Generally, disks reproduce data magnetically, and discs reproduce data optically. Combinations of the above should also be included within the scope of computer-readable media. 
         [0031]    In addition to storage on computer readable medium, instructions and/or data may be provided as signals on transmission media included in a communication apparatus. For example, a communication apparatus may include a transceiver having signals indicative of instructions and data. The instructions and data. are configured to cause one or more processors to implement the functions outlined in the claims. 
         [0032]    Although the present disclosure and its advantages have been described in detail, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the disclosure as defined by the appended claims. Moreover, the scope of the present application is not intended to be limited to the particular embodiments of the process, machine, manufacture, composition of matter, means, methods and steps described in the specification. As one of ordinary skill in the art will readily appreciate from the present invention, disclosure, machines, manufacture, compositions of matter, means, methods, or steps, presently existing or later to be developed that perform substantially the same function or achieve substantially the same result as the corresponding embodiments described herein may be utilized according to the present disclosure. Accordingly, the appended claims are intended to include within their scope such processes, machines, manufacture, compositions of matter, means, methods, or steps.