Computing task and virtual machine deploying method within a virtual data center

Abstract

The invention discloses a computing task and virtual machine deploying method within a virtual data center, which aims to optimize the QoS (Quality of Service) demand of a computing task and to improve the resource utilization rate of the data center on the basis that the service capabilities provided by a physical resource and a virtual resource appropriately surpass the actually provided service capabilities at certain proportion. The computing task and virtual machine deploying method comprises three stages: dividing the computing task into isomorphic computing tasks; modeling a virtual resource request of the isomorphic computing tasks, and deploying virtual machines based on needs; and modeling according to the physical resource requests of the virtual machines required to be deployed in the above step, and turning on a physical host according to needs. The computing task and virtual machine deploying method is applicable for computing tasks with different features and is suitable for different types of data center scenarios, and a reasonable critical value of resource service capability deflection proportion exists between the satisfaction of the QoS demand and the improvement of the resource utilization ratio.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a strategy-based computing task and a virtual machine deployment method in a virtualized data center. Background technique [0002] The data center is composed of a complete set of complex facilities, including computer systems and other supporting equipment (such as communication and storage systems), as well as data communication connections, environmental control equipment, monitoring equipment and various safety devices. Heterogeneity is a major feature of the internal resources of the data center, which has a certain impact on resource utilization, specifically in terms of resource service capabilities, performance, and even operating system platforms. In addition, the constantly changing request of computing tasks to resource service capabilities is also an important factor affecting resource utilization. Usually, during the peak period of computing tasks, heavy load pressur...

AI Technical Summary

Problems solved by technology

Although the peak period of computing tasks is inevitable, it is not frequent. When the peak period passes, resource utilization will be seriously affected.

The problem associated with poor resource utilization is the explosive growth of energy consumption

At present, the use of resources in data centers has increasingly exposed many problems such as high energy consumption, low efficiency, and waste.

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