Three-dimensional virtual resource scheduling method of cloud computing energy consumption key

Abstract

The invention discloses a three-dimensional virtual resource scheduling method of cloud computing energy consumption key. The method comprises the following steps: step 1, performing virtual resource allocation; step 2, performing overload host detection, and detecting each physical host of a cloud data center by adopting a multi-dimensional host overload detection method to judge whether the physical host is overload; step 3, performing migration virtual machine selection, and selecting a to-be-migrated virtual machine by adopting a virtual machine selection method; step 4, selecting a target host, and selecting a new physical host mode for each migrated virtual machine by adopting a target node selection method; and step 5, performing virtual resource optimization to further reduce the energy consumption. According to the three-dimensional virtual resource scheduling method disclosed by the invention, how to effectively reduce the energy consumption of the data center is fully considered from the three dimensions of CPU, memory and network bandwidth, so that the virtual resources of the cloud computing data center are efficiently scheduled and managed, the resource utilization rate is improved, and the energy consumption of the data center is effectively reduced.

Description

technical field [0001] The invention belongs to the field of cloud computing and machine learning, and in particular relates to a three-dimensional virtual resource scheduling method which is key to energy consumption of cloud computing. Background technique [0002] The cloud data center integrates heterogeneous computing resources, storage resources and network resources through virtualization technology to build a dynamic virtualized resource pool, and uses virtualized resource scheduling and management technology to realize automatic deployment of various resources, Dynamic expansion, on-demand allocation. The virtual resource scheduling technology is the core part of the cloud data center, which has important theoretical significance and practical value. This technology is crucial for improving resource utilization efficiency, saving energy consumption, realizing system load balancing and reducing operating costs. [0003] With the development of virtualization techno...

AI Technical Summary

Problems solved by technology

To sum up, although some achievements have been made in the field of resource scheduling research in cloud computing data centers at home and abroad, there are still some deficiencies, such as not fully considering the diversity of resources, and it is difficult to effectively guarantee the quality of service (QoS) of users. , low utilization rate of various types of cloud resources, high energy consumption of data centers, etc.

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