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A load balancing model based on cloud partitioning for the public cloud

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3 Author(s)
Xu, Gaochao ; College of Computer Science and Technology, Jilin University, Changchun 130012, China ; Pang, Junjie ; Fu, Xiaodong

Load balancing in the cloud computing environment has an important impact on the performance. Good load balancing makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applies the game theory to the load balancing strategy to improve the efficiency in the public cloud environment.

Published in:

Tsinghua Science and Technology  (Volume:18 ,  Issue: 1 )

Date of Publication:

Feb. 2013

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