Method for placing and scheduling virtual machines of data center in airflow organization distribution mode

Abstract

The invention discloses a method for placing and scheduling a virtual machine in a data center by using an airflow organization distribution mode, which optimizes the placement and scheduling of the virtual machine to reduce energy consumption of a refrigeration system under the condition of meeting the maximum execution cycle constraint specified by a user and the threshold temperature of a server. Overall modeling is carried out in combination with a data center airflow organization mode and combined with the load request quantity of the virtual machine. The model is solved by utilizing a simulated annealing algorithm to acquire a virtual machine placement mode adaptive to the current data center airflow organization. m=Meanwhile, when a task is executed, the utilization rate of the virtual machine may be greatly changed in different stages due to the uncertainty of the task load, so that the virtual machine is scheduled by using the model and the method to re-adapt to the current data center airflow organization distribution mode. Virtual machine placement and scheduling are combined with a current data center airflow organization distribution mode, the refrigeration energy consumption of the data center is reduced, and generation of local hot spots is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of data center resource scheduling optimization, in particular to a method for placing and scheduling virtual machines in a data center by using an airflow organization distribution mode. Background technique [0002] Cloud computing realizes on-demand provision of various computing services to users through the virtual aggregation and sharing of a large number of computing resources, so it can meet the growing demand for big data processing. In order to further improve the cloud computing system's ability to manage and process big data, how to reasonably and efficiently schedule cloud computing resources to provide users with elastic computing services is the key to improving the performance of cloud computing systems. [0003] In the cloud computing environment, due to the huge amount of cloud computing resources, the amount of computing services undertaken by the virtual machines in the data center is als...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the above-mentioned defects in the prior art, provide a method for placing and scheduling virtual machines in the data center by using the airflow organization distribution mode, and improve the problems of high energy consumption and frequent hotspots in today's data centers. Model the arrangement of servers in the data center and the distribution of airflow organization, use the simulated annealing algorithm to calculate the best solution for virtual machine placement and scheduling, improve the operating efficiency of servers, and reduce the possibility of hot spot failures

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