Quality of Service Guarantee Method for Collaborative Control of Power Consumption and Resource Competition of Cloud Computing Servers

Abstract

The invention discloses a service quality assurance method for cooperative control of power consumption and resource competition of a cloud computing server. The method includes: the steps of setting various parameters after initializing the cloud computing server; setting the monitoring cycle and adjusting the step length of the main frequency , the steps of the upper limit of power consumption; the steps of constructing load-cache pressure associated data and task-main frequency associated data; finally, according to the needs of delay-sensitive applications, the main frequency of the processor where the batch job is located can be continuously adjusted to meet the power consumption Maximize the throughput of batch jobs under the requirements of quality assurance and service quality assurance. 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.

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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