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Method and device for predicting server load in cloud operation system

A cloud operating system and server technology, applied in transmission systems, digital transmission systems, electrical components, etc., can solve problems such as low accuracy and the inability of the final system to achieve resource flow

Active Publication Date: 2013-06-19
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In many similar systems, the nearest neighbor algorithm or average method is used to predict the load value. The accuracy of these algorithms is far lower than the system requirements, resulting in the failure of the final system to achieve a reasonable resource flow.

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  • Method and device for predicting server load in cloud operation system
  • Method and device for predicting server load in cloud operation system
  • Method and device for predicting server load in cloud operation system

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Embodiment Construction

[0044] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0045] see figure 1 , which shows a method for predicting server load in a cloud operating system according to an embodiment of the present invention, including steps:

[0046] Step S101: Obtain multiple historical load sampling values ​​of the server within a preset time range from the predicted time point;

[0047] In this step, the load curve can be estimated more accurately through the segmentation prediction algorithm. The finer the segmentation, the more accurate the prediction value will be. At the same time, the calculation amount can be reduced to a certain extent through the segmentation strategy;

[0048] Step S102: According to the acquired historical load sample value of the server, call the cubic convolution interpolation algorithm to calculate the load value of the server at the predicted time point.

[0049] When predicting the load v...

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Abstract

The embodiment of the invention provides a method and device for predicting server load in a cloud operation system, wherein the method comprises the steps: obtaining a plurality of history load sampling values of a server in a predetermined time range from a predicting time point; and calling a cubic convolution interpolation algorithm to calculate the load value of the server on the predicting time point according to the obtained history load sampling values. By the method, the load values of the server can be predicted accurately and fast, so that the resources of the whole system are circulated in a reasonable and energy-saving mode.

Description

technical field [0001] The invention relates to the field of basic equipment monitoring systems in a cloud operating system (OS), in particular to a method and device for predicting server load. Background technique [0002] At present, cloud computing is gradually recognized by the industry, and the cloud operating system (cloud OS) is gradually realized and put into practice. In the cloud OS, the core component of the resource scheduling module system, through resource scheduling, achieves reasonable, efficient, and low-consumption operation and circulation of resources in the system. The server load curve is one of the important basis for the resource scheduling module. However, due to the requirement of the system operating speed, it is impossible to obtain the load value from time to time, so the prediction of the load value at any time, especially the load value at the next time, becomes particularly important. Accurate and fast prediction algorithms will make resour...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/26H04L12/24
Inventor 郭锋王理想王洪亮朱锦雷
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD