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Server integration method oriented to minimum energy consumption

A server integration and server technology, applied in the field of cloud services, can solve problems such as waste of resources and energy consumption

Active Publication Date: 2015-01-21
北京点为信息科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] After a lot of research, it is found that when the server load is low, for example, its CPU utilization rate is about 10%, then the energy consumption of the server will be about 50% of that when it is fully loaded, which will waste its resources and energy consumption

Method used

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  • Server integration method oriented to minimum energy consumption
  • Server integration method oriented to minimum energy consumption
  • Server integration method oriented to minimum energy consumption

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Embodiment Construction

[0100] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0101] The server integration method oriented to minimum energy consumption in this embodiment, such as Figure 11 shown, including the following steps:

[0102] Step 1: Obtain the resource status and performance data of the server and its virtual machines periodically, and use an external wattmeter on the physical server to periodically measure and save the energy consumption of the server; store the resource status data and performance data of the server in In the server status and service performance database, the resource status data and performance data of the virtual machine are stored in the virtual machine status and service performance database;

[0103] Resource status data includes CPU utilization, memory utilization, and total disk reads and writes;

[0104] Performance data includes service response time and throu...

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Abstract

The invention provides a server integration method oriented to minimum energy consumption. The server integration method oriented to minimum energy consumption includes that resource states and performance data of servers and virtual machines on the servers are periodically obtained, and meanwhile, energy consumption of the servers is periodically measured by an external-connected wattmeter on a physical server to be stored; resource state data of the servers, resource state data of the virtual machines, performance data of the servers and the performance data of the virtual machines are periodically collected, and data pre-processing is performed; a server energy consumption model is established; a virtual machine transfer cost prediction model is established; transfer cost prediction value of each virtual machine is obtained; virtual machine comprehensive assessment is performed by means of an improved analytic hierarchy process; service stability index of the servers is calculated; a server integration scheme is determined; server integration is performed. According to the server integration method oriented to minimum energy consumption, the virtual machines are transferred to proper servers by means of a dynamic packing algorithm according to virtual machine resource required quantity and server resource surplus, and the number of starting servers is the minimum under the condition of stable service operation.

Description

technical field [0001] The invention relates to the technical field of cloud services, in particular to a server integration method oriented to minimum energy consumption. Background technique [0002] In recent years, cloud computing (Cloud Computing) has been paid more and more attention by the academic and commercial circles due to its innovative computing form, which brings advantages such as on-demand adjustment, cost reduction and convenient acquisition for tenants. In particular, the popularization of virtualization technology has made the management of new data centers more efficient and the scale is getting larger and larger. As a result, its operating costs are getting higher and higher, and high energy consumption has gradually become a prominent problem. The continuous increase in energy consumption will increase the total cost of ownership (Total Cost of Ownership, TCO) of cloud computing infrastructure and reduce the rate of return. , so it is urgent to solve ...

Claims

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Application Information

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IPC IPC(8): G06F1/32
CPCG06F1/329
Inventor 张斌郭军刘宇莫玉岩闫永明刘舒马庆敏马群李智
Owner 北京点为信息科技有限公司
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