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Self-adaptive energy-saving control method, device and system based on traffic predication

A technology for energy-saving control and business volume, applied in transmission systems, digital transmission systems, electrical components, etc., and can solve problems such as large energy consumption

Inactive Publication Date: 2014-01-01
HANGZHOU HUAWEI DIGITAL TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the server cluster is usually deployed in the operator, and in order to ensure that the service performance provided by the server cluster is not affected, the operator usually requires the servers in the server cluster to run according to the maximum business volume, which will cause a lot of energy consumption

Method used

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  • Self-adaptive energy-saving control method, device and system based on traffic predication

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Embodiment Construction

[0053] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0054] The embodiment of the invention discloses a self-adaptive energy-saving control method, equipment and system based on business volume prediction, which can perform effective self-adaptive energy-saving control on server clusters. Each will be described in detail below.

[0055] see figure 1 , figure 1 It is a schematic flowchart of an adaptive energy-saving control method based on traffic volume prediction disclosed in an embodiment of t...

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Abstract

The invention discloses a self-adaptive energy-saving control method, device and system based on traffic predication. The method includes the steps that various indexes relevant to traffic of a server cluster in all historical time periods are collected; historical traffic of the server cluster in all the historical time periods is calculated by utilizing the various indexes relevant to the traffic in all the historical time periods; according to the historical traffic in all the historical time periods, traffic of the server cluster in the next time period is predicated; by utilizing correction factors corresponding to date classification which the next time period belongs to, the traffic in the next time period is corrected; if the largest historical traffic is larger than or equal to traffic of the next time period after being corrected, the number and / or the work states of servers operating in the service cluster are adjusted according to the corrected traffic in the next time period; when the work states of the operating servers are different, the traffics processed by the operating servers are different. Therefore, self-adaptive energy-saving control can be performed on the server cluster.

Description

technical field [0001] The invention relates to the technical field of server clusters, in particular to an adaptive energy-saving control method, equipment and system based on business volume prediction. Background technique [0002] In the context of cloud computing and big data, the scale of server clusters has increased dramatically, and the energy consumption of server clusters has also become increasingly serious. In practical applications, the business volume of the server fluctuates greatly at different times, such as working hours, weekends, and holidays. Wherein, the energy consumption of the server is very low when the business volume is at a low point, and the energy consumption of the server is high when the business volume is at a peak. Because the server cluster is usually deployed in the operator, and in order to ensure that the service performance provided by the server cluster is not affected, the operator usually requires the servers in the server cluster...

Claims

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Application Information

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IPC IPC(8): H04L12/26H04L29/08G06F1/32
Inventor 钱天进郭兴泽闵桂龙
Owner HANGZHOU HUAWEI DIGITAL TECH
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