Study on cloud resource allocation strategy based on particle swarm ant colony optimization algorithm

Cloud computing environment for the efficient resources allocation is an important issue in the field of cloud computing. The resources in Cloud computing application platform are distributed widely and with great diversity. User demands of real-time dynamic change are very difficult to predict accu...

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Bibliographic Details
Main Authors: Zhengqiu Yang, Meiling Liu, Jiapeng Xiu, Chen Liu
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Ant colony optimization
Ant colony optimization algorithm
Cloud computing
Cloud resource allocation
Heuristic algorithms
Particle swarm optimization
Particle swarm optimization algorithm
Prediction algorithms
Resource management
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Summary:Cloud computing environment for the efficient resources allocation is an important issue in the field of cloud computing. The resources in Cloud computing application platform are distributed widely and with great diversity. User demands of real-time dynamic change are very difficult to predict accurately. The heuristic ant colony algorithm could be used to solve this kind of problems, but the algorithm has slow convergence speed and parameter selection problems. Aiming at this problem, this paper proposes an optimized ant colony algorithm based on particle swarm to solve cloud computing environment resources allocation problem.
ISSN:2376-5933
2376-595X
DOI:10.1109/CCIS.2012.6664453