Cloud computing application memory management method based on real-time content prediction and historical resource occupation

Abstract

The invention relates to the field of cloud environments, in particular to a cloud computing application memory management method based on real-time content prediction and historical resource occupancy, which realizes the real-time prediction of the memory at the next moment based on the memory occupancy time sequence data of a fixed time window of an application program, and combines the historical resource usage statistical record of the full life cycle of the application program to realize the real-time prediction of the memory at the next moment. The integrated cloud computing application automatic memory recovery method is realized through a reinforcement learning model. The method has the advantages that real-time memory usage prediction and historical resource usage statistical records are combined, an integrated application memory scaling scheme is provided, and the running efficiency of application programs in the cloud computing environment is improved under the condition that memory errors are avoided.

Description

technical field [0001] The invention relates to the field of cloud computing, and mainly relates to a cloud computing application memory management method based on real-time content prediction and historical resource occupation. Background technique [0002] With the maturity of big data and cloud computing technologies, enterprises' demand for high-performance computing for big data processing continues to increase. Various applications are deployed on the cloud to achieve efficient parallel computing and on-demand allocation of computing resources. But in the face of the unlimited increase in the amount of data, the number of applications, and the complexity of computing tasks, physical resources are ultimately limited. [0003] In the cloud computing environment, the memory management of applications has always been a difficult problem in the industry. Although the emergence of many big data computing platform systems has solved the technical problems of parallel comput...

AI Technical Summary

Problems solved by technology

The present invention aims at the application program memory management problem in the cloud environment, and realizes the real-time prediction of the memory at the next moment based on the memory occupation sequence data of the fixed time window of the application program, combined with the statistical records of historical resource usage in the entire life cycle of the application program, through the reinforcement learning model Realizing an integrated automatic memory reclamation method for cloud computing applications

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