WO2019153487A1 - Procédé et dispositif de mesure de performance de système, support de stockage et serveur - Google Patents

Procédé et dispositif de mesure de performance de système, support de stockage et serveur Download PDF

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Publication number
WO2019153487A1
WO2019153487A1 PCT/CN2018/082833 CN2018082833W WO2019153487A1 WO 2019153487 A1 WO2019153487 A1 WO 2019153487A1 CN 2018082833 W CN2018082833 W CN 2018082833W WO 2019153487 A1 WO2019153487 A1 WO 2019153487A1
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Prior art keywords
performance
service interface
server
score
allocation ratio
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PCT/CN2018/082833
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English (en)
Chinese (zh)
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谭智文
洪宇明
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平安科技（深圳）有限公司
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Publication of WO2019153487A1 publication Critical patent/WO2019153487A1/fr

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Classifications

    • 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
    • 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
    • G06F11/3452—Performance evaluation by statistical analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
    • G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3051—Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F11/00—Error detection; Error correction; Monitoring
    • G06F11/30—Monitoring
    • G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
    • 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
    • G06F11/3414—Workload generation, e.g. scripts, playback
    • 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
    • G06F11/3447—Performance evaluation by modeling
    • 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
    • G06F11/3476—Data logging

Definitions

  • the present application relates to the field of computer application systems, and in particular, to a method, device, storage medium and server for measuring system performance.
  • An application system usually consists of a large number of functional modules.
  • the performance of a single function or several individual functions cannot be used as a measure of the overall performance of the application system.
  • the impact of each version upgrade on the overall performance of the system is also difficult to measure.
  • the embodiment of the present application provides a method, a device, a storage medium, and a server for measuring system performance, so as to solve the problem that the existing performance evaluation method does not have quantitative calculation and evaluation, and the accuracy is not guaranteed.
  • a first aspect of the embodiments of the present application provides a method for measuring system performance, including:
  • a performance evaluation report is generated according to the quantized score and the parameter value of the performance indicator of the server service interface.
  • a second aspect of an embodiment of the present application provides a server comprising a memory and a processor, the memory storing computer readable instructions executable on the processor, the processor executing the computer readable instructions The following steps are implemented:
  • a performance evaluation report is generated according to the quantized score and the parameter value of the performance indicator of the server service interface.
  • a third aspect of embodiments of the present application provides a computer readable storage medium storing computer readable instructions that, when executed by a processor, implement the following steps:
  • a performance evaluation report is generated according to the quantized score and the parameter value of the performance indicator of the server service interface.
  • a fourth aspect of the embodiments of the present application provides a device performance measurement apparatus, including:
  • a log file obtaining unit configured to obtain a log file of the server in the system
  • An allocation ratio determining unit configured to acquire usage information of the server service interface according to the log file, and determine a resource allocation ratio of the system according to the usage situation information;
  • a simulation scenario establishing unit configured to establish a simulation scenario of the current environment of the system according to the resource allocation ratio
  • a first parameter value collecting unit configured to perform a stress test based on the simulated scenario, and collect a parameter value of a performance indicator of the server service interface
  • a first indicator quantization unit configured to quantize a performance index of the collected service interface into a score according to the resource allocation ratio and a preset performance indicator score table
  • the evaluation report generating unit is configured to generate a performance evaluation report according to the quantized score and the parameter value of the performance indicator of the server service interface.
  • the log file of the server in the system is obtained, the usage information of the service interface of the server is obtained according to the log file, and the resource allocation ratio of the system is determined according to the usage information, and then The resource allocation ratio is used to establish a simulation scenario of the current environment of the system, and the stress test is performed based on the simulation scenario, and the parameter values of the performance indicators of the service interface of the server are collected, and then according to the resource allocation ratio and the preset performance index.
  • the score table quantifies the performance index of the collected service interface as a score, which is convenient for different users to understand the performance of the server.
  • a performance evaluation report is generated according to the quantized score and the parameter value of the performance index of the server service interface, and the service is displayed visually.
  • the parameter values of the performance indicators of the end improve the accuracy of the performance evaluation, which not only facilitates the user to quickly understand the performance of the server, but also facilitates the user to obtain performance indicators that need to be optimized for performance, and improve the efficiency of server performance optimization.
  • FIG. 1 is a flowchart of an implementation of a method for measuring system performance provided by an embodiment of the present application
  • FIG. 2 is a flowchart of an implementation of a method for measuring system performance provided by another embodiment of the present application.
  • FIG. 3 is a structural block diagram of a system performance measuring apparatus according to an embodiment of the present application.
  • FIG. 4 is a structural block diagram of a device for measuring performance of a system according to another embodiment of the present application.
  • FIG. 5 is a schematic diagram of a server provided by an embodiment of the present application.
  • FIG. 1 shows an implementation flow of a measurement method of system performance provided by an embodiment of the present application, where the method flow includes steps S101 to S106.
  • the specific implementation principles of each step are as follows:
  • a server reads data such as a user request through an interface.
  • the log file is a file set of an operation event of the server in the recording system.
  • S102 Obtain usage information of the server service interface according to the log file, and determine a resource allocation ratio of the system according to the usage information.
  • the service interface includes a real-time transaction type interface, such as a transaction page in a shopping website; a real-time query class interface, such as a product search page.
  • the service interface also includes a batch service function interface.
  • the usage information of the real-time transaction class interface and the real-time query class interface includes a request sending time, a request concurrent number, an average response time, a TPS (Transaction Per Second), a TPS fluctuation range, a timeout probability, and The probability of error, where TPS represents the number of transactions or transactions that the system can process per second, which is an important indicator of the performance of the system server.
  • Concurrency means that multiple users have made requests or operations to the system. These requests and or operations may be the same or different.
  • the number of requests for concurrency refers to the number of simultaneous requests or operations.
  • the response time refers to the time elapsed from the time when the client sends a request and the time when the client receives the response returned from the server.
  • the response time consists of the request sending time, the network transmission time, and the server processing time.
  • the usage information of the batch service interface includes the number of records processed per minute.
  • the server includes more than one type of service interface, and the foregoing S102 specifically includes:
  • A1 Obtain historical usage information of the service interface in the specified time period according to the log file. Specifically, the historical usage information of the service interface in the specified time period is obtained from the log file, where the specified time period is a time period required by the user to select statistics, in order to obtain sufficient historical usage. Information, the specified time period is generally in units of weeks, that is, the specified time period is at least one week.
  • A2 statistically analyze the usage of various service interfaces in the specified time period based on the historical usage information.
  • the statistical analysis refers to analyzing and researching the historical usage information of various service interfaces of the server, and knowing and revealing the usage of various service interfaces in the specified time period, so as to achieve various services. Correct interpretation and prediction of the performance of the interface.
  • A3 Determine the resource allocation ratio of the system based on the statistical analysis result.
  • the resource allocation ratio refers to the distribution ratio of the usage of each service interface in the system.
  • the cluster analysis method may be used to perform statistical analysis on the historical usage information of the service interface in a specified time period.
  • Cluster analysis is an ideal multivariate statistical technique, which is divided into two types: hierarchical clustering and iterative clustering.
  • the purpose of the cluster analysis is to cluster the historical usage information according to a certain rule, and the clustering category is not preset, but is based on the characteristics of the historical usage information (such as the historical request time). definite.
  • the historical usage information of the service interfaces of the service end in the past period of time is obtained according to the log file, and the peak time period and the idle time period of the service interface are determined based on the historical usage information.
  • the foregoing step A2 includes:
  • cluster analysis refers to an analysis process of grouping a collection of physical or abstract objects into a plurality of classes composed of similar objects. It is a process of classifying data into different classes or clusters, so objects in the same cluster have great similarities, and objects between different clusters have great dissimilarity.
  • A22 Predict the peak time period and idle time period of each type of service interface according to the cluster analysis result of the historical usage information of each type of service interface.
  • clustering analysis is performed on historical usage information of various service interfaces, and peak hours and idle periods of various service interfaces are obtained according to the result of cluster analysis, so as to be used according to various service interfaces. Analyze performance.
  • the peak time of each type of service interface is determined according to the date of the holiday, the date of the business activity cycle, and the cluster analysis result by determining the date of the holiday and the date of the business activity period in the future. And free time.
  • the business activity cycle includes promotional activities, celebration activities and so on.
  • a simulation scenario is established according to a resource allocation ratio of the system, in which a real user's service processing is simulated, including simulating multiple users to do the same thing or operation at the same time, and the operation is generally performed for the same type of service. (that is, for the same type of business interface), or all users do exactly the same.
  • the usage of various service interfaces is simulated in a simulation scenario according to the resource allocation ratio.
  • S104 Perform a stress test based on the simulated scenario, and collect a parameter value of a performance indicator of the server service interface.
  • a stress test is performed in a simulation scenario.
  • the stress test is to collect the parameter values of the server performance indicators in the actual application software and hardware environment and the user's use.
  • performance indicators include network load such as bandwidth consumption, application system load and database load, network load including bandwidth consumption, application system load including CPU usage, CPU load, JVM Perm area memory consumption and garbage collection GC frequency, database
  • the load includes the number of connections, memory usage, disk IO and CPU usage.
  • the server performance indicators also include timeout probability, error probability, TPS (Transaction Per Second) and response time.
  • S105 Quantify the performance index of the collected service interface into a score according to the resource allocation ratio and the preset performance indicator score table.
  • a performance indicator score table is preset, and the parameter value of the performance indicator, the parameter value of the performance indicator (or the parameter value interval of the performance indicator), and the score value are included in the preset performance indicator score table.
  • the mapping relationship between the performance index and the performance index of the parameter can be used to find the score corresponding to the performance index of a certain parameter value, thereby quantifying the performance index, so that the user can quickly understand the performance status of the service interface of the server.
  • TPS number of transactions per second
  • the specific implementation process of the system performance measurement method S105 is as follows:
  • B1 Set weights of various service interfaces according to the resource allocation ratio.
  • B2 Searching for a score corresponding to the service interface in a preset performance indicator score table according to the collected parameter value of the performance indicator of the service interface of the server.
  • B3 Quantify the performance index of the collected service interface into a score according to the weight of each service interface and the score corresponding to the service interface.
  • the service interface includes a real-time transaction type interface, a real-time query type interface, and a batch processing service function interface.
  • the resource allocation ratio reflects the usage of various service interfaces, and the weights of various service interfaces are set according to the resource allocation ratio. Simply put, the higher the proportion of business interfaces in the same time period, the greater the weight.
  • the value of the parameter value of the performance indicator is fixed, but the usage of different types of service interfaces may be different. Therefore, the weights of various service interfaces are set according to the resource allocation ratio, so that the weights of various service interfaces and service interfaces are based on the weights of various service interfaces. Corresponding scores are used to quantify the performance indicators of the collected service interfaces into fractions.
  • the performance index of the same type of service interface is more than one, and the score corresponding to each performance indicator parameter of the service interface is queried according to the preset performance indicator score table, and each performance indicator of the service interface of the service type is The scores corresponding to the parameters are determined, and the initial performance scores of the service interfaces are determined. The corresponding weights of the service interfaces are multiplied by the initial performance scores to determine the scores of the performance indicators of the service interfaces.
  • the weight of the real-time query class interface is set to A1
  • the performance score is b1
  • the weight of the real-time transaction interface is set to A2
  • the initial performance score is b2
  • the weight of the batch service function interface is A3
  • the initial performance score is b3.
  • the score of the performance indicator of the server service interface is A1*b1+ A2*b2+ A3*b3.
  • S106 Generate a performance evaluation report according to the quantized score and the parameter value of the performance indicator of the server service interface.
  • the generated performance evaluation report includes a score of performance indicators of various service interfaces and a total performance score of the server service interface.
  • the performance evaluation report also includes the time of the parameter of the performance indicator collected during the statistical analysis.
  • the performance indicator parameters are displayed using a statistical chart, so that the display of the performance indicator parameters is more intuitive.
  • the performance evaluation report is stored in the server in the form of a text, a picture, and a form, that is, the performance evaluation report may be stored in the server in the form of a WORD document, a PDF document, or an EXCEL document.
  • the performance evaluation report is simultaneously sent to the central server for storage while being saved on the server side.
  • the performance evaluation report can also be displayed in the form of a WEB webpage, and the webpage link is stored in the server to save the storage space of the server.
  • the method before the step S106, the method further includes:
  • the parameter value of the performance indicator of the server service interface that is collected is compared with a preset alarm value, and whether the parameter value of the performance indicator of the service interface of the server exceeds the warning value.
  • the CPU usage is 15%
  • the JVM memory usage is 95%
  • the second resource is analyzed
  • the host memory usage is 12.5%
  • the network bandwidth usage is 8%.
  • the parameter value of the above performance indicator is compared with a preset warning value to determine whether the warning value is exceeded.
  • the warning value is the percentage limit of the resource usage rate. If the warning value is exceeded, there is a risk of affecting the performance of the server, prompting the user to perform performance optimization.
  • multiple alert levels are set.
  • the number of performance indicators corresponding to the alarm value corresponding to one warning level is different.
  • the warning level is that the parameter values of 1 to 2 performance indicators exceed the warning value
  • the warning level is that the parameter values of 3 to 5 performance indicators exceed the warning value, and so on. According to the warning prompts and the level of the warning, it is judged whether the performance optimization needs to be performed immediately.
  • the embodiment of the present application facilitates the understanding of the performance of the server by different users, generates a performance evaluation report according to the quantized score and the parameter value of the performance index of the service interface of the server, and visually displays the parameter value of the performance indicator of the server, and improves the performance evaluation.
  • Accuracy not only facilitates users to quickly understand the performance of the server, but also facilitates users to obtain performance indicators that require performance optimization and improve the efficiency of server performance optimization.
  • the method for measuring system performance further includes:
  • S107 Optimize performance of the server service interface according to the score quantified by the performance index of the service interface. Specifically, in the embodiment of the present application, the performance index of the performance optimization is determined by the score of the server performance indicator in the performance evaluation report.
  • S108 Collect parameter values of performance indicators of the server service interface after performance optimization.
  • the step refers to step S104.
  • a simulation scenario is established for the performance-optimized system, and a stress test is performed in the simulation scenario to collect parameter values of the performance indicators of the service-side service interface after performance optimization.
  • S109 Quantify, according to the resource allocation ratio and the preset performance indicator score table, a performance index of the server service interface that is optimized after the performance optimization is a score.
  • the step may refer to step S105.
  • S1010 Generate a performance optimization evaluation report according to the quantified result and the performance evaluation report before performance optimization.
  • the generated performance optimization evaluation report includes the score of the performance index of the service interface before the performance optimization and the performance index of the service interface after the performance optimization. fraction. Service metrics that further correspond to performance optimization can be highlighted so that users can quickly understand the optimized content.
  • FIG. 3 is a structural block diagram of a system performance measuring apparatus provided by an embodiment of the present application. For convenience of description, only relevant embodiments of the present application are shown. section.
  • the system performance measuring apparatus includes: a log file obtaining unit 61, an allocation ratio determining unit 62, a simulated scene establishing unit 63, a first parameter value collecting unit 64, a second index quantizing unit 65, and an evaluation report generating unit 66. ,among them:
  • a log file obtaining unit 61 configured to acquire a log file of the server in the system
  • the distribution ratio determining unit 62 is configured to acquire usage information of the server service interface according to the log file, and determine a resource allocation ratio of the system according to the usage information.
  • the simulation scenario establishing unit 63 is configured to establish a simulation scenario of the current environment of the system according to the resource allocation ratio
  • the first parameter value collection unit 64 is configured to perform a stress test based on the simulation scenario, and collect a parameter value of a performance indicator of the server service interface;
  • the first indicator quantization unit 65 is configured to quantize the performance index of the collected service interface into a score according to the resource allocation ratio and the preset performance indicator score table;
  • the evaluation report generating unit 66 is configured to generate a performance evaluation report according to the quantized score and the parameter value of the performance indicator of the server service interface.
  • the allocation ratio determining unit 62 includes:
  • a history information obtaining module configured to acquire historical usage information of the service interface in a specified time period according to the log file
  • a statistical analysis module configured to statistically analyze usage of various service interfaces in the specified time period based on the historical usage information
  • an allocation ratio determining module configured to determine a resource allocation ratio of the system based on a statistical analysis result.
  • the first indicator quantization unit 65 includes:
  • a weight setting module configured to set weights of various service interfaces according to the resource allocation ratio
  • a score finding module configured to search for a score corresponding to the service interface in a preset performance indicator score table according to the collected parameter value of the performance indicator of the service interface of the server;
  • the indicator quantification module is configured to quantize the performance index of the collected service interface into a score according to the weight of each service interface and the score corresponding to the service interface.
  • the measuring device of the system performance further includes:
  • the warning judging unit is configured to compare the parameter value of the performance indicator of the server service interface with the preset warning value, and determine whether the parameter value of the performance indicator of the service interface of the server exceeds the warning value;
  • the optimization prompting unit is configured to prompt the user to perform performance optimization if the parameter value of the performance indicator of the server service interface exceeds the warning value.
  • the system performance measurement apparatus further includes:
  • the performance optimization unit 71 is configured to optimize performance of the server service interface according to the score quantified by the performance index of the service interface.
  • the second parameter value collection unit 72 is configured to collect parameter values of the performance indicators of the server service interface after performance optimization
  • the second indicator quantization unit 73 is configured to quantize the performance index of the server service interface that is optimized after the performance optimization according to the resource allocation ratio and the preset performance indicator score table into a score;
  • the optimization evaluation report generating unit 74 is configured to generate a performance optimization evaluation report according to the quantized result and the performance evaluation report before the performance optimization.
  • the embodiments of the present application can facilitate the understanding of the performance of the server by different users, visually display the parameter values of the performance indicators of the server, and improve the accuracy of the performance evaluation, which not only facilitates the user to quickly understand the performance of the server, but also facilitates the user to obtain performance optimization. Performance metrics to improve the efficiency of server performance optimization.
  • FIG. 5 is a schematic diagram of a server according to an embodiment of the present application.
  • the server 8 of this embodiment includes a processor 80, a memory 81, and computer readable instructions 82 stored in the memory 81 and executable on the processor 80, such as a measure of system performance. program.
  • the processor 80 when executing the computer readable instructions 82, implements the functions of the various modules/units in the various apparatus embodiments described above, such as the functions of the modules 61-66 shown in FIG.
  • the computer readable instructions 82 may be partitioned into one or more modules/units that are stored in the memory 81 and executed by the processor 80, To complete this application.
  • the one or more modules/units may be a series of computer readable instruction instruction segments capable of performing a particular function for describing the execution of the computer readable instructions 82 in the server 8.
  • the server 8 can be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.
  • the server may include, but is not limited to, a processor 80, a memory 81. It will be understood by those skilled in the art that FIG. 8 is merely an example of the server 8, does not constitute a limitation of the server 8, may include more or less components than those illustrated, or combine some components, or different components, such as
  • the server may also include an input and output device, a network access device, a bus, and the like.

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Abstract

La présente invention concerne un procédé et un dispositif de mesure de performance de système, un support de stockage et un serveur, le procédé comprenant : l'acquisition d'un fichier journal d'un serveur dans un système ; l'obtention d'informations de condition d'utilisation d'une interface de service du serveur selon le fichier journal, et la détermination d'un rapport de distribution de ressources du système selon les informations de condition d'utilisation ; l'établissement d'une scène de simulation du système dans l'environnement actuel selon le rapport de distribution de ressources ; la réalisation d'un test de pression sur la base de la scène de simulation, et l'acquisition de valeurs de paramètre pour des indices de performance de l'interface de service du serveur ; la quantification des indices de performance acquis de l'interface de service sous forme de notes selon le rapport de distribution de ressources et une table de notation d'indice de performance prédéfinie ; et la génération d'un rapport d'évaluation de performance selon les notes quantifiées et les valeurs de paramètre pour les indices de performance de l'interface de service du serveur. Selon la présente invention, des indices de performance sont quantifiés, de telle sorte que des utilisateurs peuvent évaluer de manière commode les performances de systèmes, ce qui améliore ainsi l'efficacité d'optimisation des performances du serveur.
PCT/CN2018/082833 2018-02-07 2018-04-12 Procédé et dispositif de mesure de performance de système, support de stockage et serveur WO2019153487A1 (fr)

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CN109446041B (zh) * 2018-09-25 2022-10-28 平安普惠企业管理有限公司 一种服务器压力预警方法、系统及终端设备
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