Service quality assurance method for cloud computing server power consumption and resource competition cooperative control

Abstract

The invention discloses a service quality assurance method for cloud computing server power consumption and resource competition cooperative control. The method comprises the steps of setting parameters after initializing a cloud computing server; setting a monitoring period, and adjusting a frequency step and an upper power consumption limit; constructing associated data of load with buffer pressure and the associated data of tasks with the primary frequency; finally, continuously adjusting the primary frequency of a processor where the batch processing operation is located according to the requirements of a delay-sensitive application to maximize the throughput of the batch processing operation under the requirement for meeting the power consumption and service quality assurance. The method overcomes the defect that the traditional single-target or dual-target optimization method cannot balance the power consumption or the throughput of the batch processing operation when guaranteeing the service quality of the delay sensitive application, simplifies the multi-objective optimization process through an offline analysis and online optimization configuration method, and can effectively guide data center server task scheduling and resource optimization configuration.

Description

technical field [0001] The present invention relates to a server in a cloud computing system structure, and more particularly, refers to a quality of service (QoS) guarantee method suitable for cooperative control of power consumption and resource competition of a cloud computing server. Background technique [0002] With the rapid development of cloud computing, deep learning, mobile Internet and other information technologies, user-oriented real-time applications are becoming more and more diverse, such as Web search, online transaction processing, speech recognition, face verification, real-time translation, etc. Changing people's production and lifestyle. Whether users can obtain a satisfactory experience in these interactive applications is not only related to whether the program functions are humanized and the operation is convenient, but also depends to a large extent on the end-to-end delay of "user request-service response" . If the latency of interactive applicat...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the low resource utilization rate of servers in the current cloud computing architecture and the defects and improvement needs of existing technologies, the present invention proposes a quality of service (QoS) applicable to the power consumption and competition cooperative control of servers in the cloud computing architecture. Safeguard method

The invention overcomes the defect that the traditional single-objective or dual-objective optimization method cannot take into account power consumption or batch processing throughput when guaranteeing the service quality of delay-sensitive applications, and simplifies the multi-objective optimization process through offline analysis and online optimization configuration methods, and can Effectively guide data center server task scheduling and resource optimization configuration

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