Host load forecasting method in cloud computing environment

A load prediction and cloud computing technology, applied in computing, computing models, energy-saving computing and other directions, can solve the problems of load prediction and deviation of the host

Active Publication Date: 2013-10-23
NANJING UNIV
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AI Technical Summary

Problems solved by technology

The disadvantage of these methods is that the change of the host load is generally nonlinear, and it is difficult to predict the load of the ho...

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  • Host load forecasting method in cloud computing environment
  • Host load forecasting method in cloud computing environment
  • Host load forecasting method in cloud computing environment

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Embodiment Construction

[0024] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so as to fully understand and implement the process of how to apply technical means to solve problems and achieve technical effects in the present invention. The steps shown in the flow diagrams of the figures may be implemented in different computer systems, such as a set of computer-executable instructions, and, although a logical order is shown in the flow diagrams, in some cases, may be executed in a different order than The sequence herein performs the steps shown or described in sequence.

[0025] The implementation process of the algorithm is described in detail below.

[0026] Step one, data collection. Collect historical data of the host load for the previous n days. Use the CPU detection tool on the host to obtain CPU load data every 5 minutes. The collected data set is divided into training set (TrainingSet), verification set (Validatio...

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Abstract

The invention provides a load forecasting method for a cloud computing center host, belongs to the cloud computing field and solves the problem that as virtual machines of different users work on a host of a cloud computing center and the host load is subject to more complicated changes, the host load has to be accurately forecasted to further dispatch the virtual machines so as to achieve the purposes of load balancing and energy consumption reduction. The core of the algorithm lies in that the phase-space reconstruction method in the chaos theory and the data grouping treatment algorithm based on genetic algorithm are combined together. Compared with the present existing method, by adopting the method provided by the invention, a smaller relative error can be obtained. Besides, under the condition that the forecasting time is prolonged, compared with the traditional method, the accumulated error of the forecasting is reduced.

Description

technical field [0001] The invention mainly aims at the problems of host scheduling and load balancing in the cloud computing environment, and proposes a method for predicting host load. Background technique [0002] Cloud computing is a computing model that provides dynamically scalable virtualized resources as a service through the Internet. For cloud service providers, various underlying resources (computing, storage, network, etc.) Transparent, users do not need to understand the internal structure of the cloud computing center, only care about whether their needs are met. [0003] For cloud service providers, centralized management of resources can effectively improve resource utilization. However, due to the heterogeneity of various underlying resources in the cloud computing center and the differences in user applications, the reasonable scheduling and load of resources Equilibrium becomes a challenging problem. An effective way to improve resource utilization is t...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06N3/00
CPCY02B60/142Y02B60/167Y02D10/00
Inventor 周余杨强鹏于耀彭成磊都思丹王自强赵贺汤文杰马雁楠
Owner NANJING UNIV
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