Energy-saving virtual machine placement method for cloud computing data center

Abstract

The invention discloses an energy-saving virtual machine placement method for a cloud computing data center, comprising the following steps: a, a physical server zone is built; b, the information of physical servers is obtained; c, virtual machine resources to be created are computed; d, the physical servers are sorted; e, the mapping between the virtual machines to be created and the physical servers is built; f, a single physical server is judged whether meeting the demands or not; g, a physical server sequence meeting the demands in the same sub area is judged whether existing or not; and h, the server sequence with the minimum air-conditioning consumption cost and the least number of physical servers is selected. According to the energy-saving virtual machine placement method for the cloud computing data center, a single physical server is preferentially selected for creating a virtual machine, and then the physical servers in the same sub area are selected for creating virtual machines; under the circumstances that the single physical server and the physical servers in the same sub area do not exist, the physical server sequence with the highest centralization degree is finally selected for creating the virtual machines, the virtual machines of the cloud computing data center are placed in an energy-saving manner, the energy-saving effect is remarkable, and the application and popularization are facilitated.

Description

technical field [0001] The present invention relates to an energy-saving method for placing virtual machines in a cloud computing data center, and more specifically, to an energy-saving method for placing virtual machines in a cloud computing data center that maximizes the centralized placement of all virtual machines to be created. Background technique [0002] Cloud computing (Cloud Computing) is the product of the integration of traditional computer and network technologies such as grid computing, distributed computing, parallel computing, network storage, and virtualization. It is a commercial computing model that distributes computing tasks on a resource pool composed of a large number of physical computers, enabling various application systems to obtain computing power, storage space, and information services on demand. Its core is a service resource pool, which is usually some virtualized resources that can be maintained and managed by itself, including computing serv...

AI Technical Summary

Problems solved by technology

The disadvantage is that virtual machine placement needs to be implemented through virtual machine migration, the method process is relatively complicated, and if there are too many virtual machines sharing virtual memory, the quality of service of the virtual server cannot be guaranteed

[0013] For the virtual machine placement method proposed above, the problem is only considered from the virtual machine placement itself, and the design is not combined with the energy consumption of the air conditioning and refrigeration system. For the packaging method, the idea is to place multiple virtual machines in fewer places as much as possible. However, this method only considers the logical concentration of physical servers. In practice, the deployed servers may be located in different physical cabinet areas. Deploying in this way will increase the temperature of different physical server areas. , causing the cooling system to work, thereby consuming electric energy; for the method of striping, load sensing, and memory closeness, the idea is to distribute the virtual machine to multiple physical nodes, so as to achieve the function of load balancing, this type of method will cause The temperature rise in a large scale causes large-scale work of refrigeration and air conditioning

Therefore, the above method cannot realize the energy saving of the air-conditioning and refrigeration system during the implementation process.

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