WO2023105671A1 - 計算機及びプログラム - Google Patents

計算機及びプログラム Download PDF

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Publication number
WO2023105671A1
WO2023105671A1 PCT/JP2021/045074 JP2021045074W WO2023105671A1 WO 2023105671 A1 WO2023105671 A1 WO 2023105671A1 JP 2021045074 W JP2021045074 W JP 2021045074W WO 2023105671 A1 WO2023105671 A1 WO 2023105671A1
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WIPO (PCT)
Prior art keywords
computer
data
processing
state
performance
Prior art date
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Ceased
Application number
PCT/JP2021/045074
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English (en)
French (fr)
Japanese (ja)
Inventor
勇輝 有川
顕至 田仲
猛 伊藤
直樹 三浦
健 坂本
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NTT Inc
Original Assignee
Nippon Telegraph and Telephone Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nippon Telegraph and Telephone Corp filed Critical Nippon Telegraph and Telephone Corp
Priority to JP2023565769A priority Critical patent/JP7750304B2/ja
Priority to US18/700,828 priority patent/US20240411602A1/en
Priority to PCT/JP2021/045074 priority patent/WO2023105671A1/ja
Publication of WO2023105671A1 publication Critical patent/WO2023105671A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • G06F9/505—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the load
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5011—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resources being hardware resources other than CPUs, Servers and Terminals
    • G06F9/5022—Mechanisms to release resources
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources

Definitions

  • the present invention relates to computers and programs.
  • Technological innovation is progressing in many fields such as machine learning, artificial intelligence (AI), and IoT (Internet of Things), and by utilizing various data, the sophistication of services and the provision of added value are actively progressing. It is Such processing requires a large amount of calculation, and an information processing infrastructure for that is essential.
  • AI artificial intelligence
  • IoT Internet of Things
  • Non-Patent Document 1 points out that modern computers cannot cope with the rapidly increasing amount of data, although attempts are being made to update the existing information processing infrastructure. There is In addition, Non-Patent Document 1 points out that "post-Moore technology" that goes beyond Moore's law must be established in order to achieve further evolution in the future.
  • Non-Patent Document 2 discloses a technique called flow-centric computing.
  • flow-centric computing the new concept of moving data to where computational functions (computational resources) exist and processing it, instead of the traditional computing concept of processing where the data resides. have been introduced.
  • An object of the present invention is to enable appropriate management of the hardware configuration of a plurality of computing resources that perform at least part of a service for processing data to be processed.
  • a computer of the present invention is a computer capable of adding or deleting computational resources for processing input data input from the outside, and has state information for acquiring state information indicating the state of the computer.
  • the processing performance of the computer when there is at least one of dynamic addition or deletion of computational resources and an increase in the amount of input data or output data based on the acquisition unit and the state indicated by the state information.
  • the program of the present invention includes a state information acquisition step of acquiring state information indicating the state of the computer in a computer capable of adding or deleting computing resources for processing input data input from the outside. and, based on the state indicated by the state information, a change in the processing performance of the computer when at least one of dynamic addition or deletion of computational resources and an increase in the amount of input data or output data occurs. and a performance estimation step of estimating .
  • FIG. 1 is a hardware configuration diagram of a computer according to the first embodiment of the present invention.
  • FIG. 2 is a block diagram showing the configuration of the computer in FIG.
  • FIG. 3 is an operation flowchart of the computer of FIG.
  • FIG. 4 is an operation flowchart of the quality control section of FIG.
  • FIG. 5 is a block diagram showing the configuration of the computer of the second embodiment.
  • FIG. 6 is a block diagram showing the configuration of the computer of the third embodiment.
  • FIG. 7 is an operation flowchart of the quality control section of FIG.
  • a computer 10 according to this embodiment is shown in FIG.
  • Computer 10 is used together with other computers 20-1 to 20-N (N is a natural number).
  • the computer 10 and other computers 20-1 to 20-N are provided so as to be able to communicate with the resource management device 30 via a network NW such as the Internet or a local area network (LAN).
  • Computer 10 and other computers 20-1 to 20-N are also provided so as to be able to communicate with each other via network NW.
  • the computers 10, 20-1 to 20-N are composed of various computers such as personal computers, smart phones, and tablets.
  • the resource management device 30 is composed of a server computer or the like.
  • the resource management device 30 instructs the computers 10, 20-1 to 20-N to add and delete computational resources R.
  • the resource management device 30 manages a plurality of computational resources R that share and process a predetermined service.
  • a plurality of types of services are prepared, and sets of computational resources R in different combinations are used for each service.
  • Services include image processing and the like.
  • a plurality of computing resources R that perform one service are connected via a virtual network configured in a network NW or the like, and process target data serially and/or in parallel.
  • image data as data to be processed is binarized by parallel processing by two computation resources R of the computer 10, and then computation of the binarized image data by the computer 20-1 is performed.
  • Image recognition processing is performed by the resource R, and the processing result is returned to the image data provider (not shown).
  • the provider is a client computer of a service user or the like.
  • a series of processes constituting each service is performed under the control of the resource management device 30, for example.
  • the storage device of the resource management device 30 stores the addresses of a plurality of computing resources R for each service, and the resource management device 30 designates the transfer destination of the processing result data output by the computing resources R. be done.
  • the processing by the computing resource R includes, for example, processing to reduce/enlarge the image size of image data, processing to detect a specific object from the image data, processing to decrypt/encrypt the image data, processing of the data to be processed, Any generally conceivable arithmetic processing such as aggregation and combination may be used.
  • Each of the computers 10, 20-1 to 20-N has a similar configuration, although the processes that can be executed are different.
  • the configuration of the computer 10 will be described as a representative.
  • the computer 10 includes a processor 11, a main memory 12 of the processor 11, a nonvolatile storage device 13 for storing programs and various data, and a NIC (Network Interface Card) 14 connected to the network NW.
  • Computer 10 further includes an accelerator 15 that improves the functionality of computer 10 .
  • the processor 11 consists of a CPU (Central Processing Unit) and the like, and controls the entire computer 10 by executing or using programs and various data stored in the storage device 13 .
  • the main memory 12 is composed of RAM (Random Access Memory) and the like. Programs and various data are read out to the main memory 12 as appropriate.
  • the storage device 13 is an SSD (Solid State Drive) or the like.
  • the NIC 14 transmits/receives data to/from the network NW under the control of the processor 11 .
  • the accelerator 15 is configured by hardware such as FPGA (Field-Programmable Gate Array).
  • the processor 11 can dynamically delete or add an arithmetic circuit as the arithmetic resource R to the reconfigurable area of the accelerator 15 , that is, regardless of the operating state of the computer 10 .
  • the operating state includes, for example, a processing state in which data input from the user or client using the computer 10 or the service is being processed, and an idle state in which there is no data input from the user or client. Includes idle state. Further, the operating state includes an initialization state from when the computer 10 is powered on until the computer 10 becomes ready to provide processing (service).
  • the computer 10 is configured with a receiving section 10A, a transmitting section 10B, and a quality control section 10C, as shown in FIG.
  • the receiving section 10A and the transmitting section 10B are composed of a processor 11 and a RAM 12 that execute programs.
  • 10 C of quality control parts are comprised by the processor 11 which runs a program.
  • the receiving unit 10A, the transmitting unit 10B, and the quality control unit 10C are accommodated in one housing of the computer 10. FIG.
  • the receiving unit 10A temporarily holds the data to be processed input to the computer 10 and outputs it to at least one computation resource R preset for each data to be processed in the subsequent stage.
  • the reception unit 10A holds the data to be processed until the calculation ends.
  • the calculation resource R receives the processing target data output by the receiving unit 10A, processes the processing target data, and outputs data of the processing result (calculation result) to the transmitting unit 10B.
  • the transmission unit 10B temporarily accumulates the data of the processing result output from the computation resource R and outputs it to the outside of the computer 10 as output data.
  • the quality control unit 10C manages the quality of processing performed by the computer 10 using the computational resource R.
  • the quality control unit 10C includes a state information acquisition unit 10CA, a performance estimation unit 10CB, a resource control unit 10CC, and an output unit 10CD.
  • the state information acquisition unit 10CA acquires state information indicating the state of the computer 10.
  • the state of the computer 10 includes the state of input data that is data to be processed input from the outside of the computer 10, the state of output data that is output to the outside of the computer 10, and the operation resource R already provided in the computer 10. and the load on the computer 10.
  • the state of input data or output data may include, for example, the speed of input data or output data, that is, the amount of input data and the amount of output data per unit time. Also, in this state, is it continuously input like stream data, or is it processed ad-hoc like data packets and momentary increase and decrease of data amount can occur (so-called burst traffic)? It may also include information identifying the This state may also include a state such as whether or not the amount of input data increases at the timing expected in advance for executing batch processing, or whether or not the amount of input/output data fluctuates with time.
  • the processing contents of the computation resource R already provided in the computer 10 are, for example, the amount of computation required for computation by the computation resource R, the data volume of computation parameters required for the computation, and the memory of the computation resource R. and the amount of data of the calculation parameter.
  • the processing content may include information such as the amount of data after operation, that is, the amount of output data after performing a predetermined operation on input data.
  • the processing speed of the computational resource R includes throughput, latency, time required to complete reading of input data from the receiving unit 10A, and At least one of the required time may be included.
  • the processing speed may include at least one of the time required to read calculation parameters required for calculation of input data from the memory and the time required to output data after calculation to the transmission unit.
  • the load on the computer 10 is the amount of data currently input to the computer 10, the amount of data currently retained inside the computer 10, the number of users accommodated by the computer 10, the number of network sessions, or at least one of the number of clients.
  • the above information does not have to be input from outside the quality control unit 10C.
  • the state information acquisition unit 10CA can collect the ever-changing load on the computer 10 by monitoring whether the operation resource R is operating or not, and by monitoring the buffer accumulation amount of the reception unit 10A. can.
  • the performance estimator 10CB has at least one of dynamic addition or deletion of the computation resource R and an increase in the amount of input data or output data. Estimate the change in the processing performance of the computer 10 at that time.
  • the change in processing performance includes, for example, at least one of the changed processing performance and the amount of change in processing performance.
  • Processing performance is performance related to processing time, and may be processing time itself or processing speed. For example, in the storage device 13, there is a relational expression or a table indicating the relationship between the state of the computer 10, the contents of the arithmetic resource R to be added or deleted (circuit scale, etc.) or the amount of data increase, and the change in processing performance.
  • the performance estimating unit 10CB uses the relational expression or table to estimate the processing performance based on the state of the computer 10 and the content of the computation resource R to be added or deleted or the amount of data increase. Get change. This estimates the change in processing performance.
  • the relationship between the above states and changes in processing performance is exemplified below. Therefore, the contents of the relational expression or table, the information used as the state of the computer 10, and the information used as the change in processing performance are defined in consideration of the following examples.
  • the memory access band is shared by a plurality of computational resources R
  • a computational resource R that requires reading computational parameters from memory is added, one computational resource R is added to the computational resources R already arranged and operating.
  • the memory access bandwidth per unit will be relatively low.
  • the time required to read the computational parameters increases, and the time (latency) required to complete the computation of the data to be processed and/or the computation per unit time.
  • the amount of data that can be processed (throughput) may decrease. Further, for example, when a plurality of computational resources R that perform the same computation are provided, if any one of the plurality of computational resources is deleted, parallel processing etc. are reduced accordingly. There is a possibility that the time (latency) to complete data calculation and/or the amount of data that can be calculated per unit time (throughput) will decrease.
  • the amount of input data increases, the amount of data in the process of distributing the data to be processed from the receiving unit 10A to the calculation resource R increases, so the time to temporarily buffer the data may increase. have a nature. If the buffering time becomes long, the time (latency) required to complete the calculation of the data to be processed may increase, and/or the amount of data that can be calculated per unit time (throughput) may decrease.
  • the resource management unit 10CC determines whether to dynamically add or delete computational resources R based on changes in the processing performance estimated by the performance estimation unit 10CB. For example, the resource management unit 10CC determines that the addition or deletion is possible if the amount of change in processing performance is equal to or less than a predetermined threshold. More specifically, if the amount of decrease in processing performance is less than or equal to a predetermined threshold value, such as the degree of lengthening of processing time being less than or equal to a predetermined threshold value, and the decrease in processing performance is small, the addition or Determine that deletion is possible. The resource management unit 10CC may dynamically add or delete the computation resource R when determining that the addition or deletion is possible.
  • a message to the effect that addition or deletion is possible may be transmitted to the resource management device 30 side.
  • the resource manager 10CC may determine whether the input data can be increased or deleted based on the change in the processing performance estimated by the performance estimator 10CB. If the input data can be increased or deleted, the resource management device 30 may be notified to that effect.
  • the output unit 10CD may output the change in processing performance itself to the outside of the computer 10.
  • the output information is output to the outside of the computer 10 via the NIC 14 or the like.
  • the resource management device 30 determines whether or not to add or delete the computation resource R and/or whether or not the amount of data to be processed by the computer 10 increases.
  • the receiving unit 10A, the computing resource R, and the transmitting unit 10B of the computer 10 perform the processing of FIG. 3 on the data to be processed. Specifically, the receiving unit 10A first receives and temporarily holds processing target data input from the outside of the computer 10 (steps S101 and S102). If the receiving unit 10A cannot output the data to be processed because the downstream computation resource R is performing computation, the data is held until it becomes possible to output the data (steps S103 and S102). In addition, when it becomes possible to output the data to be processed, the receiving unit 10A outputs the data to be processed to the computation resource R of the output destination set in advance for each data to be processed (step S104). After that, the calculation resource R performs calculation processing on the data to be processed (step 105).
  • a plurality of computation resources R may sequentially perform computation processing on the processing data.
  • the transmission unit 10B temporarily holds the processing target data after the arithmetic processing output by the arithmetic resource R as output data and outputs the data to the outside of the computer 10 .
  • the quality control unit 10C executes the process shown in FIG. 4 when the resource management device 30 requests addition or deletion of the computational resource R or reports an increase in input data.
  • the state information acquisition unit 10CA of the quality control unit 10C acquires state information indicating the state of the computer 10 (step S111).
  • the performance estimation unit 10CB determines whether at least one of dynamic addition or deletion of the computation resource R and an increase in the amount of input data or output data is performed.
  • a change in the processing performance of the computer 10 when there is an estimate is estimated (step S112).
  • the resource management unit 10CC may determine whether addition or deletion of the computing resource R is possible based on the change in the processing performance estimated by the performance estimation unit 10CB (step S113).
  • Computing resources R may be added or removed when possible.
  • the output unit 10CD may output the change in processing performance itself to the outside of the computer 10 (step S113).
  • processing is started when a request for addition or deletion of operation resource R is made to the computer 10, but the quality control unit 10C monitors an increase in the amount of input/output data, The process may be initiated when the increase is large enough to meet a predetermined criterion. Also, when a data reduction notification is received, the same processing as the above processing may be executed.
  • the computer when there is at least one of dynamic addition or deletion of the computation resource R and an increase in the amount of input data or output data.
  • a performance variation of 10 is estimated. Then, using this estimated change, it is possible to determine whether at least one of the addition or deletion of the computational resource R and the increase of the data is possible.
  • the hardware configuration of multiple computing resources R that perform at least part of the service can be appropriately managed. For example, if it is estimated that the addition of the computing resource R to the computer 10 will significantly reduce the processing performance, the addition of the computing resource R is suppressed, thereby suppressing the occurrence of processing delay.
  • the calculation resource R can be deleted to reduce the power consumption.
  • FIG. 5 shows the configuration of the computer 110 according to the second embodiment.
  • Computer 110 has almost the same configuration as computer 10 .
  • the resource management unit 10CC adds or deletes computational resources and changes input data or output data. It outputs to the outside of the computer 110 that at least one of an increase in the amount of data is possible.
  • the required performance is stored in the storage device 13 and used.
  • the required performance is prepared for each computing resource R, for example. When there is an estimate of the change in processing performance with respect to the addition or deletion of the computational resource R, the required performance corresponding to the computational resource R to be added or deleted is used.
  • the required performance corresponding to the current computing resource R of the computer 110 is used.
  • the required performance may be a required value relating to the time from the start to completion of processing of the computing resource R, a required value relating to the processing throughput of the computing resource R (amount of data input/output per unit time), etc. good.
  • the required value may differ for each service, and may have multiple required values according to the quality of the service. Increasing the amount of input data or output data includes accepting new input data and adding new users.
  • the acquisition of the status information may be started when an increase in the amount of input data is detected, or may be started when the resource management device 30 notifies or advances the amount of input data. may be If the change in the processing performance estimated by the performance estimator 10CB does not fall within the required performance required of the computer 110, the resource manager 10CC finds another computer 20 that can provide similar computational resources R. The resource management device 30 may be notified of the determination result instructing the offload to the resource management device 30 .
  • the determination by the resource management unit 10CC is performed within the computer 110, so the determination result acquisition time is shortened and the amount of data output to the outside is reduced compared to the case where this is performed externally.
  • the external resource management device 30 can addition or deletion, etc. can be determined easily.
  • FIG. 6 shows the configuration of the computer 210 according to the second embodiment.
  • Computer 210 has almost the same configuration as computer 10 .
  • the resource management unit 10CC monitors the internal states of the receiving unit 10A, the computing resource R, and the transmitting unit 10B more specifically than the internal state of the computer 210, and monitors the computing resource R according to the monitored internal state. is requested to the external resource management device 30 for addition or deletion of . For example, if a processing delay occurs, addition of computational resources R for parallel processing is required in order to eliminate the delay.
  • the resource management unit 10CC monitors the internal state of the computer 210 and sends the allowable amount of data to be processed input to the computer 210 to the external resource management device 30 according to the monitored internal state. Notice.
  • the capacity includes the amount of new input data accepted, the number of new users added, and the like.
  • the resource management unit 10CC autonomously monitors the internal state of the computer 210, more specifically, the internal states of the receiving unit 10A, the calculation resource R, and the transmitting unit 10B.
  • the resource management unit 10CC monitors the data flow rate per unit time at multiple monitoring points. As a result of the monitoring, when the flow rate exceeds a predetermined threshold, the resource management unit 10CC requests the resource management device 30 to add computational resources R for parallel processing, for example. It should be noted that a plurality of pieces of information may be combined for monitoring. Also, since processing becomes complicated when multiple pieces of information are combined, multiple pieces of information may be monitored individually.
  • the quality control unit 10C executes the processing shown in FIG. Specifically, the resource management unit 10CC of the quality control unit 10C monitors the internal states of the reception unit 10A, the calculation resource R, and the transmission unit 10B in the computer 210. For example, the input amount of data to be processed in the reception unit 10A is detected (step S301). When the increase is detected, steps S111 and S112 similar to those in the first embodiment are executed. As a result, status information is acquired and changes in processing performance are estimated. After that, the resource management unit 10CC determines whether or not the estimation result falls within a predetermined required performance (the processing performance after the change satisfies the required performance) (step S302), and if it does, the process ends.
  • a predetermined required performance the processing performance after the change satisfies the required performance
  • the resource management device 30 is requested to limit the amount of data to be processed to be input, or to add a computing resource R (step S303). In addition, deletion may be requested as necessary. In response to the request, the resource management device 30 limits the amount of data to be processed and/or instructs the computer 210 to add or remove the computational resource R.
  • various requests are made according to the internal state of the computer 10, and appropriate management of the computational resource R is performed. Also, the amount of input data is appropriately managed.
  • the computer 10 autonomously monitors the internal states of the receiving unit 10A, the computing resource R, and the transmitting unit 10B, the internal states can be acquired at a higher speed than when the internal states are monitored in an external system or device. This has the effect of shortening the time from acquiring the internal state to calculating the estimation result.
  • the calculation resource R whose data size increases it becomes difficult to monitor the internal state and the internal load from the outside.
  • the computer 10 autonomously monitors the internal state, when an external system or device requests the computer 10 to add or delete the computational resource R, the estimation results and determination can be quickly made. The result is printed.
  • the present invention is not limited to the above embodiments and modifications.
  • the present invention includes various modifications to the above embodiments and modifications that can be understood by those skilled in the art within the scope of the technical idea of the present invention.
  • the configurations described in the above embodiments and modified examples can be appropriately combined within a consistent range. It is also possible to delete any configuration among the above configurations.
  • the program may be stored not only in the non-volatile storage device 13 but also in a non-temporary computer-readable storage medium.

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PCT/JP2021/045074 2021-12-08 2021-12-08 計算機及びプログラム Ceased WO2023105671A1 (ja)

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