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Cloud computing data center energy consumption optimization method based on multi-region division

A technology of data center and optimization method, applied in the field of cloud computing, can solve problems such as low load, waste of energy consumption, uneven load, etc., and achieve the effect of reducing overall energy consumption, reducing time complexity, and reducing the total number of hosts

Pending Publication Date: 2022-03-04
GUILIN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem of waste of energy consumption caused by the low and uneven load of the host computer in the data center in the existing cloud computing field, and to provide a multi-area division-based method that can optimize the energy consumption of the cloud computing data center. Cloud Computing Data Center Energy Consumption Optimization Method

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  • Cloud computing data center energy consumption optimization method based on multi-region division
  • Cloud computing data center energy consumption optimization method based on multi-region division
  • Cloud computing data center energy consumption optimization method based on multi-region division

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Embodiment Construction

[0022] Such as figure 1 As shown, it is a schematic diagram of the steps of a cloud computing data center energy consumption optimization method based on multi-region division in the present invention, and the method includes:

[0023] Said step S1 raw data acquisition: obtaining the host list information of the current cloud computing data center, obtaining the virtual machine list information of each host, wherein the host list information includes: each host ID, the current CPU number and occupancy rate of each host, the available memory size, The resource allocation size of each virtual machine, where the virtual machine list information includes: the ID of each virtual machine, the CPU usage rate of the virtual machine, the memory capacity usage rate, and the number of currently running processes;

[0024] The step S2 data sorting process: arrange the host list information in descending order of CPU occupancy of the host, and arrange the list of virtual machines in each h...

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Abstract

The invention discloses a cloud computing data center energy consumption optimization method based on multi-region division. Firstly, all hosts of the cloud computing data center are subjected to data collection, obtained data are subjected to sorting preprocessing, and then the sorted hosts are divided into a high load area, a middle load area and a low load area according to the load size. For a high-load area, a high-load host migration strategy is provided, and the balance of the host load is realized through migration of the virtual machine, so that the problem that the energy consumption is greatly increased due to overhigh host load is solved. In addition, for a low-load host area, a low-load host migration strategy is provided, a host no-load state is realized by migrating out the virtual machine, and the no-load host is adjusted to be in a dormant state, so that the total energy consumption of the cloud computing data center is further reduced. According to the cloud computing data center energy consumption optimization method based on multi-region division provided by the invention, the energy consumption of the cloud computing data center can be effectively reduced, the emission of carbon dioxide is reduced, and a large amount of energy is saved.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a method for optimizing energy consumption of a cloud computing data center based on multi-area division. Background technique [0002] In recent years, cloud computing, as a computing model that provides services on demand, has received increasing attention on its energy efficiency. Cloud energy efficiency issues involve various elements such as software, hardware, and network. Among them, as an important component of the data center, the load of the host has a huge impact on energy consumption. In recent years, a large number of studies at home and abroad have shown that the load of the host in the cloud computing center is not directly proportional to the energy it consumes, which means that when the load is very light, such as 10% load, the host will also consume 60% -70% normal calibrated energy consumption; and its energy consumption increases dramatically when the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F1/329G06F1/3287G06F9/455G06F9/48G06F9/50
CPCG06F1/329G06F1/3287G06F9/45558G06F9/4856G06F9/5088G06F2009/4557G06F2009/45575Y02D10/00
Inventor 谢晓兰陈灵彬常盼刘亚荣
Owner GUILIN UNIVERSITY OF TECHNOLOGY
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