Energy-saving method of cloud data center based on virtual machine migration and load perception integration

A technology of virtual machine migration and cloud data center, applied in the field of computer system structure, can solve the problem of large energy consumption of data center, and achieve the effect of avoiding unsuccessful migration

Active Publication Date: 2011-06-15
ZHEJIANG UNIV
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Problems solved by technology

[0006] Aiming at the shortcomings of excessive energy consumption in the data center in the prior art, the present invention proposes a virtual machine-based migration and virtual machine technology that reduces the number of physi

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  • Energy-saving method of cloud data center based on virtual machine migration and load perception integration
  • Energy-saving method of cloud data center based on virtual machine migration and load perception integration
  • Energy-saving method of cloud data center based on virtual machine migration and load perception integration

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Embodiment 1

[0032] Energy-saving methods for cloud data centers based on virtual machine migration and load-aware integration, such as Figure 1 to Figure 2 shown, including the following steps:

[0033] Step a: Monitoring of server and virtual machine load resource utilization rate: Real-time monitoring of the running status and resource utilization rate of the physical server and the virtual machine load on the cloud data center through the monitoring module, and record the current The resource utilization status of , the monitoring module records the information of these physical servers, and generates a list of servers to be migrated S={S i , S 2 ,...,S n}; At the same time, calculate the idle resources of each physical server, PM idle i ={CPU i , Memory i , Network i}, receive the migration of other virtual machines, and determine the type of load by analyzing the resource utilization of the virtual machine. After all the information is recorded, it is sent to the energy manag...

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Abstract

The invention relates to a system level virtualization technology and an energy-saving technology in the field of the structure of a computer system, and discloses an energy-saving method of a cloud data center based on virtual machine migration and load perception integration. The method comprises the steps: dynamically completing the migration and the reintegration of the load of a virtual machine in the cloud data center by monitoring the resource utilization rate of a physical machine and the virtual machine and the resource use condition of current each physical server under the uniform coordination and control of an optimized integration strategy management module of the load perception and an on-line migration control module of the virtual machine, and tuning off the physical servers which run without the load, so that the total use ratio of the server resource is improved, and the aim of energy saving is achieved. The energy-saving method of the cloud data center based on the virtual machine on-line migration and the load perception integration technology is effectively realized, the amount of the physical servers which are actually demanded by the cloud data center is reduced, and the green energy saving is realized.

Description

technical field [0001] The invention relates to system-level virtualization technology and energy-saving technology in the field of computer system structure, and in particular to a cloud data center energy-saving method based on virtual machine migration and load perception integration. Background technique [0002] As a traditional concept, the data center has existed for a long time. Its establishment provides huge computing and storage capabilities for specific key areas of scientific research, such as earth observation, high-energy physics, scientific computing and simulation, oil exploration and other fields. In recent years, with the development of computer technology, especially the improvement of computer hardware design capabilities and processes, the capabilities of servers have become stronger and stronger, and the scale of data centers has also become larger and larger, but at the same time energy consumption has also become a prominent problem. According to st...

Claims

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Application Information

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IPC IPC(8): G06F1/32G06F9/46
CPCY02B60/162Y02D10/00
Inventor 吴朝晖叶可江姜晓红何钦铭
Owner ZHEJIANG UNIV
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