WO2013129061A1 - Système de commande de nombre de connexions simultanées, serveur de commande de nombre de connexions simultanées, procédé de commande de nombre de connexions simultanées et programme de commande de nombre de connexions simultanées - Google Patents

Système de commande de nombre de connexions simultanées, serveur de commande de nombre de connexions simultanées, procédé de commande de nombre de connexions simultanées et programme de commande de nombre de connexions simultanées Download PDF

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Publication number
WO2013129061A1
WO2013129061A1 PCT/JP2013/052864 JP2013052864W WO2013129061A1 WO 2013129061 A1 WO2013129061 A1 WO 2013129061A1 JP 2013052864 W JP2013052864 W JP 2013052864W WO 2013129061 A1 WO2013129061 A1 WO 2013129061A1
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Prior art keywords
operation status
multiplicity
limit
unit
connections
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PCT/JP2013/052864
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English (en)
Japanese (ja)
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堀川　隆
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日本電気株式会社
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/54—Interprogram communication
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
    • G06F11/3433—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment for load management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
    • G06F11/3466—Performance evaluation by tracing or monitoring
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/80—Database-specific techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
    • G06F2201/88—Monitoring involving counting

Definitions

  • the present invention relates to a simultaneous connection number control system, a simultaneous connection number control server, a simultaneous connection number control method, and a simultaneous connection number control program.
  • FIG. 1 An example of such an information processing system is shown in FIG.
  • the client 9 and the database server 8 are computers equipped with a CPU (Central Processing Unit), memory, communication means, and the like.
  • the database server 8 since the database server 8 is required to have high performance, it is common to mount an operating system that includes a plurality of CPUs and that can operate a plurality of processing processes 81 in parallel.
  • Such a database server 8 usually creates one processing process 81 for each client 9 and receives a processing request and transmits a processing result with the client 9.
  • the number of processing processes 81 that proceed simultaneously in parallel is called multiplicity.
  • Multiplicity is closely related to the throughput performance of the database server, that is, the number of processing requests from clients completed per unit time. Specifically, as shown in FIG. 9, in a region where the database server has a surplus, by increasing the multiplicity, processing requests from more clients can be executed in parallel. Get higher. However, if the multiplicity is excessively increased, an overhead or the like for arbitrating the use of the bottleneck resource occurs between the processing processes, and the throughput performance is decreased. Therefore, in order to maintain the processing efficiency of the database server, an upper limit value (hereinafter referred to as “limit multiplicity”) L is set for the multiplicity, and the number of processing processes exceeding the limit multiplicity L is not generated. It is important to control.
  • the method of setting the limit multiplicity value applied to the database server is determined depending on the static method using a fixed value determined in advance and the result of measuring the behavior of the information processing system and the database server.
  • the optimum limit multiplicity value generally depends on the hardware configuration of the database server and the content of the processing request from the client. Therefore, it is more likely that an optimum value can be set by setting the limit multiplicity value using a dynamic method than a static method. For this reason, a technique for controlling the multiplicity using a limit multiplicity value obtained from the result of measuring the behavior of the database server has been conventionally devised (see, for example, Patent Document 1 below).
  • Patent Document 1 discloses a server device that measures a CPU usage rate and a memory usage capacity as indices indicating the behavior of a database server, and calculates the limit multiplicity using the measurement results.
  • the performance index value used when measuring the behavior of the computer includes a single-dimensional numerical value and a numerical value obtained as a ratio to the elapsed time.
  • the single-dimensional numerical value for example, the memory usage capacity corresponds.
  • This single-dimensional numerical value can be measured by performing a measurement operation at one point in the operation period of the measurement target computer.
  • the numerical value obtained as a ratio to the elapsed time is generally measured using a sampling method.
  • This sampling method is a method of continuously performing a measurement operation for acquiring a system state (for example, whether or not a CPU is used) at regular intervals and calculating a ratio to be obtained using a plurality of acquired measurement data. It is.
  • a timer that causes the CPU to generate interrupts at regular intervals and an operating system can be used.
  • the fixed interval in this case is an interval of several milliseconds to tens of milliseconds. Therefore, for example, when a measurement operation of about several tens to one hundred times is performed in order to obtain the CPU usage rate, a time of at least about 1 second is consumed.
  • the CPU usage rate calculated as a ratio to the elapsed time is used as the performance index value used when calculating the limit multiplicity.
  • the CPU usage rate is obtained, it is necessary to repeat the measurement operation for a predetermined period, which takes time. Therefore, under circumstances where the operating environment factors that affect the optimum value of the limit multiplicity change greatly, the optimum limit multiplicity for the CPU usage rate over a predetermined period and the optimum limit multiplicity at each time There may be differences between them.
  • the server device described in Patent Document 1 since the CPU usage rate is obtained using the result of the measurement operation performed over a predetermined period, not only the operation at the time of obtaining the optimum limit multiplicity, but also the time point.
  • the optimum limit multiplicity is calculated on the basis of the CPU usage rate obtained by averaging the operations within the predetermined period. Therefore, under circumstances where the operating environment factors that affect the optimum value of the limit multiplicity gradually change, calculating the limit multiplicity using such a CPU usage rate results in the optimal limit multiplicity. There may be a delay in following changes.
  • the present invention has been made to solve the above-described problem, and an optimum multiplicity can be set even in a situation where an operating environment factor affecting the optimum value of the limit multiplicity changes.
  • An object is to provide a simultaneous connection number control system, a simultaneous connection number control server, a simultaneous connection number control method, and a simultaneous connection number control program.
  • the simultaneous connection number control system includes a counter unit that measures an operation state of hardware in a target computer, and the counter unit that is measured each time the operation state acquisition operation is started. Using an operation status acquisition unit that acquires an operation status and the operation status acquired by the operation status acquisition unit, a limit multiplicity that calculates a limit multiplicity that is an upper limit value of the number of processing processes that simultaneously perform processing is calculated. A severe calculation unit, and a simultaneous connection number control unit that controls the number of simultaneous connections to the target computer with the limit multiplicity calculated by the limit multiplicity calculation unit as an upper limit.
  • the simultaneous connection number control server includes a counter unit that measures a hardware operation state in a target computer, and the counter unit that is measured each time the operation state acquisition operation is started. Using an operation status acquisition unit that acquires an operation status and the operation status acquired by the operation status acquisition unit, a limit multiplicity that calculates a limit multiplicity that is an upper limit value of the number of processing processes that simultaneously perform processing is calculated. A severe calculation unit, and a simultaneous connection number control unit that controls the number of simultaneous connections to the target computer with the limit multiplicity calculated by the limit multiplicity calculation unit as an upper limit.
  • the method for controlling the number of simultaneous connections includes a counter step for measuring an operation state of hardware in a target computer, and the counter step measured every time the operation state acquisition operation is started.
  • the limit multiplicity for calculating the limit multiplicity that is the upper limit value of the number of processing processes to be processed in parallel at the same time A severe calculation step, and a simultaneous connection number control step of controlling the number of simultaneous connections to the target computer with the limit multiplicity calculated in the limit multiplicity calculation step as an upper limit.
  • the concurrent connection number control program that is one aspect of the present invention causes a computer to execute each step included in the concurrent connection number control method.
  • the simultaneous connection number control system 1 includes one server 2 and a plurality of clients 3.
  • the server 2 includes, for example, a plurality of CPUs 21, a plurality of memories 22, and a timer 23 as hardware.
  • the memory 22 and the timer 23 are connected to the CPU 21.
  • the timer 23 requests an interruption to the CPU 21 at a predetermined time interval set in advance.
  • the CPU 21 has a built-in performance counter 211.
  • the performance counter 211 is one of hardware counters for measuring the performance of the computer. Details of the performance counter are disclosed in Non-Patent Document 1 below. This performance counter shows the number of occurrences of events that measure the number of memory accesses and cache misses, and values related to the time and time required for operations that measure the memory access time, etc. Can be measured with the accuracy of sub-nanoseconds.
  • Non-Patent Document 1 "Intel (R) 64" and “IA-32” Architectures "Software” Developer's “Manual” Volume “3B:” System “Programming” Guide, “Part” 2 ",” May “2007,” [CHAPTER “18” DEBUGGING “AND” PERFORMANCE “MONITORING], [APPENDIX-MONITORING] ]
  • the performance counter 211 built in the CPU 21 functions as a performance counter unit.
  • the performance counter unit has a function of accumulating the number of accesses and the access time that the CPU 21 accesses the memory 22. In this embodiment, it is assumed that two performance counters are provided, and two types of measurement of the number of accesses and the access time can be performed simultaneously.
  • the server 2 includes, as software functions, for example, an operation status acquisition unit 221, a limit multiplicity calculation unit 222, and a simultaneous connection number control unit 223.
  • the processing process 224 is a process for executing a processing request from the client 3.
  • the operating system 225 controls the execution of each program in response to an external request or an interrupt from the timer 23.
  • the operation status acquisition unit 221 calculates the number of accesses and the access time measured by the performance counter unit 211 each time an operation for acquiring the operation status of the computer (hereinafter referred to as “operation status acquisition operation”) is started. Get the cumulative value.
  • a time predetermined by the operating system 225 can be set.
  • the timer 23 requests the CPU 21 to interrupt each time a predetermined time elapses, and starts execution of the operation status acquisition operation.
  • the limit multiplicity calculation unit 222 calculates the limit multiplicity by using the access count and the accumulated access time acquired by the operation status acquisition unit 221.
  • the limit multiplicity is the upper limit value of the number of processing processes that simultaneously proceed in parallel. An example of calculating the limit multiplicity will be described below.
  • the limit multiplicity calculation unit 222 calculates the average access time using the cumulative number of access times and access times.
  • the average access time can be calculated by dividing the cumulative value of the access time by the cumulative value of the number of accesses.
  • the limit multiplicity calculation unit 222 subtracts 1 from the currently set limit multiplicity when the average access time is equal to or greater than a predetermined threshold.
  • the simultaneous connection number control unit 223 controls the number of simultaneous connections of the client 3 to the server 2 with the limit multiplicity calculated by the limit multiplicity calculation unit 222 as an upper limit.
  • the number of simultaneous connections can be controlled by controlling whether a processing request from the client 3 to the server 2 is transferred to the processing process 224. Specifically, this will be described below.
  • the simultaneous connection number control unit 223 determines whether or not the current number of connections (initial value is 0) is equal to or greater than the limit multiplicity. If the current number of connections is less than the limit multiplicity, a connection process is executed, and 1 is added to the current number of connections. On the other hand, if the current number of connections is greater than or equal to the limit multiplicity, the client 3 is notified of that fact without executing the connection process. When receiving a disconnection request from the client 3, the simultaneous connection number control unit 223 executes disconnection processing and subtracts 1 from the current number of connections.
  • FIG. 2 is a flowchart for explaining the start procedure of the operation status acquisition process. This starting procedure of the operation status acquisition process is repeatedly executed from when the server 2 starts up to when it stops.
  • the operation status acquisition unit 221 performs an operation status acquisition process every time a predetermined time has elapsed (step S101; YES) (step S102).
  • FIG. 3 is a flowchart for explaining the procedure of the operation status acquisition process executed in step S102.
  • the operation status acquisition unit 221 acquires the cumulative number of access times and access times from the performance counter 211 (step S201).
  • the performance counter unit resets the total number of accesses and access times measured by the performance counter 211 to 0 (step S202).
  • the limit multiplicity calculation unit 222 determines whether or not the average access time calculated in step S203 is equal to or greater than a predetermined threshold (step S204). If this determination is NO (step S204; NO), the operation status acquisition process ends.
  • step S204 when it is determined in step S204 that the average access time is equal to or greater than the threshold (step S204; YES), the limit multiplicity calculation unit 222 subtracts 1 from the currently set limit multiplicity (Ste S205). Then, the operation status acquisition process ends.
  • FIG. 4 is a flowchart for explaining a procedure for controlling the number of simultaneous connections.
  • the control of the number of simultaneous connections is started when the server 2 is started and is executed until the server 2 is stopped.
  • the simultaneous connection number control unit 223 resets the current number of connections to 0 (step S301).
  • the simultaneous connection number control unit 223 waits until a processing request from the client 3 is received (step S302; NO).
  • step S302 when the processing request from the client 3 is received (step S302; YES) and the processing request is a connection request (step S303; connection request), the simultaneous connection number control unit 223 determines that the current number of connections is It is determined whether or not the current limit multiplicity is exceeded (step S304).
  • step S304 If this determination is NO (step S304; NO), the simultaneous connection number control unit 223 executes a connection process and adds 1 to the current number of connections (step S306). Then, the process proceeds to step S302.
  • step S304 determines whether the current number of connections is greater than or equal to the current limit multiplicity. If it is determined in step S304 that the current number of connections is greater than or equal to the current limit multiplicity (step S304; YES), the simultaneous connection number control unit 223 does not execute the connection process, and the client 3 is notified of this (step S305). Then, the process proceeds to step S302.
  • step S303 when it is determined in step S303 that the processing request from the client 3 is a disconnection request (step S303; disconnection request), the simultaneous connection number control unit 223 executes the disconnection process, and determines from the current number of connections. 1 is subtracted (step S307). Then, the process proceeds to step S302.
  • the limit multiplicity can be calculated by using the access count and the cumulative access time measured by the performance counter 211 of the CPU 21. That is, as shown in FIG. 5, the limit multiplicity can be calculated Y for each acquisition operation X. As a result, the optimum limit multiplicity can be set even in a situation where the operating environment factor that affects the optimum value of the limit multiplicity changes greatly or gradually changes.
  • the acquisition operation X is performed a plurality of times, and the obtained results Z are aggregated, and then the limit multiplicity is calculated Y. That is, in order to calculate Y the limit multiplicity once, a plurality of acquisition operations X are required, and the acquisition operation takes a lot of time. For this reason, it has been difficult to set the optimum multiplicity under circumstances where the operating environment factors that affect the optimum value of the limit multiplicity change greatly or gradually change.
  • the limit multiplicity can be calculated for each acquisition operation, and therefore the operating environment factor that affects the optimum value of the limit multiplicity. It is possible to set an optimum multiplicity even in a situation where the value of the value changes greatly.
  • the time for obtaining a value used when calculating the limit multiplicity can be shortened, and therefore, operating environment factors that affect the optimum value of the limit multiplicity gradually. Even in such a situation that changes, the optimal multiplicity can be set.
  • the cumulative value of the memory access count and the memory access time is read from the performance counter built in the CPU and used to calculate the limit multiplicity, but the measurement value used to calculate the limit multiplicity is It is not limited to this. Any measurement value obtained by observing a hardware signal can be applied to the present invention. For example, if the system is in a halt state when the CPU is not processing, the CPU is in the halt state (or the time the CPU is not in the halt state) and the elapsed time. May be acquired from the CPU performance counter and the CPU usage rate calculated using the acquired times may be used for calculating the limit multiplicity.
  • FIG. 7 shows a configuration example of the simultaneous connection number control system in this modification.
  • the simultaneous connection number control system 4 includes a plurality of servers 5, a single load balancer 6, and a plurality of clients 7. Since the hardware configuration of the server 5 is the same as the hardware configuration of the server 2 in the embodiment, the description thereof is omitted here.
  • the software function of the server 5 includes an operation status acquisition unit 521 corresponding to the operation status acquisition unit 221 among the software functions of the server 2 in the embodiment.
  • the load balancer 6 includes a limit multiplicity calculation unit 222 and a simultaneous connection number control unit 623 corresponding to the limit multiplicity calculation unit 222 and the simultaneous connection number control unit 223 among the software functions of the server 2 in the embodiment.
  • the operation status acquisition unit 521 and the limit multiplicity calculation unit 622 are provided in accordance with the number of servers 5, and the simultaneous connection number control unit 623 is provided in the load balancer 6.
  • the simultaneous connection number control unit 623 reads the limit multiplicity from the limit multiplicity calculation unit 622 corresponding to each server 5 and controls the number of simultaneous connections of the client 7 to each server 5.
  • a counter unit that measures the hardware operation status in the target computer, and an operation status acquisition unit that acquires the operation status measured by the counter unit each time the operation status acquisition operation is started
  • a limit multiplicity calculation unit that calculates a limit multiplicity that is an upper limit value of the number of processing processes that simultaneously proceed in parallel using the operation status acquired by the operation status acquisition unit; and the limit multiplicity calculation
  • a simultaneous connection number control unit that controls the number of simultaneous connections to the target computer with the limit multiplicity calculated by a unit as an upper limit.
  • Supplementary note 1 or 2 including a plurality of servers having the counter unit and the operation status acquisition unit, and a load balancer having the limit multiplicity calculation unit and the simultaneous connection number control unit 2.
  • the simultaneous connection number control system according to 2.
  • a counter unit that measures the hardware operation status in the target computer, and an operation status acquisition unit that acquires the operation status measured by the counter unit each time the operation status acquisition operation is started
  • a limit multiplicity calculation unit that calculates a limit multiplicity that is an upper limit value of the number of processing processes that simultaneously proceed in parallel using the operation status acquired by the operation status acquisition unit; and the limit multiplicity calculation
  • a simultaneous connection number control unit that controls the number of simultaneous connections to the target computer with the limit multiplicity calculated by a unit as an upper limit.
  • the counter step which measures the operation state of the hardware in an object computer
  • the operation state acquisition step which acquires the said operation state measured in the said counter step, whenever the acquisition operation of the said operation state is started
  • a limit multiplicity calculating step for calculating a limit multiplicity that is an upper limit value of the number of processing processes that simultaneously proceed in parallel using the operation status acquired in the operation status acquiring step; and the limit multiplicity calculation.
  • a simultaneous connection number control step of controlling the number of simultaneous connections to the target computer with the limit multiplicity calculated in the step as an upper limit.
  • Appendix 6 A program for controlling the number of simultaneous connections for causing a computer to execute each step described in Appendix 5.
  • the simultaneous connection number control system, the simultaneous connection number control server, the simultaneous connection number control method, and the simultaneous connection number control program according to the present invention are provided under a situation in which operating environment factors affecting the optimum value of the limit multiplicity change. Is also suitable for setting the optimal multiplicity.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
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Abstract

L'objectif de la présente invention est de régler une multiplicité optimale même dans des conditions dans lesquelles des facteurs d'environnement de fonctionnement influant sur une valeur optimale d'une limite de multiplicité varient. La présente invention comprend : un compteur de performances (211) qui mesure des conditions de fonctionnement d'un matériel dans un ordinateur objet ; une unité d'acquisition de conditions de fonctionnement (221) pour acquérir des conditions de fonctionnement mesurées par le compteur de performances (211) chaque fois qu'une opération d'acquisition pour les conditions de fonctionnement est lancée ; une unité de calcul de limite de multiplicité (222) qui calcule une limite de multiplicité, qui est une borne supérieure pour le nombre de processus dans lesquels un traitement doit se dérouler simultanément en parallèle, à l'aide des conditions de fonctionnement acquises par l'unité d'acquisition de conditions de fonctionnement (221) ; et une unité de commande de nombre de connexions simultanées (223) qui commande le nombre de connexions simultanées aux ordinateurs objets en utilisant comme limite supérieure la limite de multiplicité calculée par l'unité de calcul de limite de multiplicité (222).
PCT/JP2013/052864 2012-02-28 2013-02-07 Système de commande de nombre de connexions simultanées, serveur de commande de nombre de connexions simultanées, procédé de commande de nombre de connexions simultanées et programme de commande de nombre de connexions simultanées WO2013129061A1 (fr)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10476732B2 (en) 2016-11-28 2019-11-12 Fujitsu Limited Number-of-couplings control method and distributing device

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6377197B1 (ja) * 2017-03-03 2018-08-22 三菱電機インフォメーションシステムズ株式会社 スレッド数変動通信装置及びスレッド数変動通信プログラム

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Publication number Priority date Publication date Assignee Title
JPS63211452A (ja) * 1987-02-27 1988-09-02 Nec Corp ネツトワ−ク会話処理方式
JP2005141441A (ja) * 2003-11-06 2005-06-02 Hitachi Ltd 負荷分散システム
JP2008250669A (ja) * 2007-03-30 2008-10-16 Nec Corp ウェブ監視制御システム、ウェブサーバ制御装置およびウェブサーバ制御プログラム

Patent Citations (3)

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Publication number Priority date Publication date Assignee Title
JPS63211452A (ja) * 1987-02-27 1988-09-02 Nec Corp ネツトワ−ク会話処理方式
JP2005141441A (ja) * 2003-11-06 2005-06-02 Hitachi Ltd 負荷分散システム
JP2008250669A (ja) * 2007-03-30 2008-10-16 Nec Corp ウェブ監視制御システム、ウェブサーバ制御装置およびウェブサーバ制御プログラム

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10476732B2 (en) 2016-11-28 2019-11-12 Fujitsu Limited Number-of-couplings control method and distributing device

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