DocumentCode :
3681371
Title :
Resources Allocation Method on Cloud Computing
Author :
Wei Ming;Zhang Chunyan;Qiu Feng;Cui Yu;Sui Qiangqiang;Ding Wanbing
Author_Institution :
Beijing Shenzhou Aerosp. Software Technol. Co., Ltd., Beijing, China
fYear :
2014
fDate :
5/1/2014 12:00:00 AM
Firstpage :
199
Lastpage :
201
Abstract :
To improve the efficiency of resource allocation cloud computing, as while as to improve resource utilization for the service provider, the paper has raised a polymorphic algorithm of Ant Colony Optimization, which can assure the quality of cloud service, and also dynamically change the list that contain nodes information. When the user submits the task, the algorithm will transfer it to the Cloud Control Queen by Master. And then, according to the functions, the ant colony will be divided into test ant colony, reconnaissance ant colony, cleared ant colony and workers ant colony. The algorithm can achieve the minimum average completion time gradually, and may reduce local optima, by forecasting the completion time and other pheromone.
Keywords :
"Resource management","Algorithm design and analysis","Cloud computing","Clustering algorithms","Virtual machining","Ant colony optimization","Bandwidth"
Publisher :
ieee
Conference_Titel :
Service Sciences (ICSS), 2014 International Conference on
ISSN :
2165-3828
Type :
conf
DOI :
10.1109/ICSS.2014.50
Filename :
7312315
Link To Document :
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