Ant colony optimization computing resource distribution method based on cloud computing environment

A technology of cloud computing environment and computing resources, applied in the field of cloud computing, can solve problems such as resource allocation and scheduling algorithms cannot work effectively, and achieve the effect of short response time and good operation quality

Inactive Publication Date: 2013-04-24
LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Computing resource allocation is an important part of cloud computing technology, and its efficiency directly affects the performance of the entire cloud computing environment.

Method used

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  • Ant colony optimization computing resource distribution method based on cloud computing environment
  • Ant colony optimization computing resource distribution method based on cloud computing environment
  • Ant colony optimization computing resource distribution method based on cloud computing environment

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Embodiment Construction

[0035] Referring to the accompanying drawings, the content of the present invention will be described with a specific example to realize the process of this system structure.

[0036] (1) Model and its consideration parameters

[0037] The slave node domain is regarded as an undirected graph G (V, E), where the collection of all slave nodes in the Area of ​​V, and E is the network collection connecting each slave node. Evenly divide the cloud computing network into several sub-areas, and then assign the same number of ants to each area, and the ants in each group only search in their respective areas. The metrics to consider include the following parameters:

[0038] Estimated execution time: time_cost(e), refers to the time consumed by computing resources at the end of path e to process such a job.

[0039] Network delay: delay(e), refers to the maximum network delay generated by path e.

[0040] Network bandwidth: bandwidth(e), refers to the maximum network bandwidth prov...

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Abstract

The invention provides an ant colony optimization computing resource distribution method based on a cloud computing environment. The computing resource distribution method is based on ant colony optimization and characteristics of the cloud computing environment. The cloud computing resource distribution method comprises the steps of predicting computing quality of potential available nodes, analyzing influence of factors such as network bandwidth occupation, quality of a track, responding time, task cost and reliability on resource distribution according to characteristics of a cloud computing service mode, and then obtaining a set of optimized computing resources by means of the ant colony algorithm. According to the algorithm, shorter responding time and better running quality can be acquired compared with other distribution algorithms which aim at the network on the premise that cloud computing environment requirements are met, and therefore the ant colony optimization computing resource distribution method based on the cloud computing environment is more suitable for the cloud environment.

Description

Technical field [0001] The invention involves the field of cloud computing technology. Specifically, it is a method of optimizing computing resource allocation methods based on the cloud computing environment. Background technique [0002] Cloud computing refers to the related technologies of distributed computing, parallel computing, and grid computing, or Grid Computing, or Grid Computing, which are connected through the Internet.Business implementation of concept. [0003] Cloud computing is a new type of shared infrastructure that can connect huge system pools together to provide users with various storage and computing resources through the Internet by operators and customers.In the cloud computing environment, users have concentrated their personal computers, PDA, or mobile phones and other terminal devices.The economic scale of the business is determined, and it is abstract, virtualized and large -scale dynamic.The main contents of cloud computing are management computing ...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L12/927H04L47/80
Inventor 方雪静
Owner LANGCHAO ELECTRONIC INFORMATION IND CO LTD
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