A method and device for evaluating the ability of a distributed cluster to process specified services

Abstract

The present application provides a method and device for evaluating the ability of a distributed cluster to process a specified business, the method includes the following steps: determining a performance index for evaluating the ability of a distributed cluster to process a specified business and the said performance index that restricts the performance index Resource parameters of the distributed cluster; obtaining the performance index data and the resource parameter data; using the performance index data and the resource parameter data, using a machine learning algorithm to determine the relationship between the performance index and the resource parameter A model; determining the ability of the distributed cluster to process the specified service according to the relationship model. The technical solution provided by this application can avoid the possible impact on the online running business, can evaluate the corresponding business processing capability of the online running distributed cluster based on the actual business data, and can avoid affecting the online running distributed cluster business services to achieve the effect of reducing evaluation costs.

Description

technical field [0001] The present application relates to a method for evaluating the processing capability of a distributed cluster, in particular to a method and a device for evaluating the capability of a distributed cluster for processing specified services. Background technique [0002] For any system that uses a large-scale distributed cluster to provide business services, the processing capacity of the business services it provides is limited. When the maximum upper limit of its processing capacity is reached, the system cannot continue to provide corresponding business services. [0003] In practical applications, it is necessary to ensure the high availability of the services provided by the services deployed on the distributed cluster, that is, to ensure that the processing capacity that can provide corresponding services within a controllable time is greater than the demand for the services. [0004] In different business development stages, the number of busines...

AI Technical Summary

Problems solved by technology

[0012] Among the above methods, the "simulated request stress test" can only initiate a single logical request in the test environment, and cannot fully cover complex online requests; the "online traffic drainage stress test" needs to build a completely consistent online The standard test environment, including the upstream and dependent downstream services that the original service depends on, requires expensive pressure testing costs, especially in a distributed cluster environment with multiple service entities; "Modify the weight pressure test method "First of all, relying on cluster support to dynamically adjust load balancing is a good method for a simple CS architecture, but in a distributed cluster with a scattered organizational structure, there are fewer business scenarios that can be analyzed and covered, and the implementation cost is relatively high.

[0013] To sum up, the existing methods of stress testing the business processing capabilities of distributed clusters have the problems of high requirements for the test environment and high test costs

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