Cloud computing server cluster resource allocation control system and method

Abstract

The invention provides a cloud computing server cluster resource allocation control system and method. An initial matching optimization module analyzes and analyzes the matching degree of a task feature vector of an operation task and a resource allocation vector of a resource allocation mode, and determines the resource allocation mode of the operation task; the dynamic optimization module performs dynamic optimization in a sub-task execution process included in the analysis operation task; after the task scene judgment module judges that the matching optimization of the initial matching optimization module fails due to the execution of the sub-tasks or the dynamics caused by external disturbance, the task scene judgment module enters the re-matching optimization module, and the executionprocess of the sub-tasks is restarted through the dynamic optimization module; and the matching optimization module analyzes the matching degree of the task feature vector of the operation task and the resource allocation vector of the resource allocation mode, determines the resource allocation mode of the operation task, and realizes matching optimization of server cluster resource allocation.Resource optimization matching can be considered, the method adapts to dynamics, and the phenomenon that resource allocation is too frequent can be inhibited.

Description

technical field [0001] The invention relates to the technical field of resource allocation, in particular to a cloud computing server cluster resource allocation control system and method. Background technique [0002] In order to meet the actual needs of big data, artificial intelligence and other aspects of analysis and computing, cloud computing technology has developed rapidly in recent years. Cloud computing uses the server cluster located in the cloud as the execution carrier of the analysis operation. The server cluster obtains the analysis operation task submitted by the client through the network, executes the calculation in response to the demand of the analysis operation task, and feeds back the calculation execution of the analysis operation task to the client. result. Cloud computing takes advantage of the scale advantages and centralized management advantages of cloud server clusters, which can undertake massive, high-concurrency and resource-intensive opera...

AI Technical Summary

Problems solved by technology

[0003] At present, in the prior art, the server clusters in the cloud are used to perform calculations in response to the requirements of the analysis and calculation tasks, and there is a lack of solutions that can take into account resource optimization and matching, adapting to dynamics, and suppressing excessive resource allocation.

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