Key Lab of Electronic Commerce and Modern Logistics of Chongqing University of Posts and Telecommunications, Chongqing, P. R. China

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Abstract—This paper presents virtual machines resources scheduling algorithm taking into computing capacity of processing elements and consideration their computational complexity. We apply the improved particle swarm optimization to solve virtual machines resources scheduling problem. The experiments show that the improved algorithms can provide effective solutions that the original algorithm can not provide on cloud systems.

Index Terms—Particle swarm optimization; resources scheduling; cloudSim; cloud computing

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Cite: Hao Yuan, Changbing Li, Maokang Du, "Optimal Virtual Machine Resources Scheduling Based on Improved Particle Swarm Optimization in Cloud Computing," Journal of Software vol. 9, no. 3, pp. 705-708, 2014.