Optimal Virtual Machine Resources Scheduling Based on Improved Particle Swarm Optimization in Cloud Computing

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Provided by: Academy Publisher
Topic: Cloud
Format: PDF
With the development of high performance computing, there are many computing paradigms including Peer-To-Peer (P2P) computing, cluster computing, services computing, grid computing and cloud computing. This paper presents virtual machines resources scheduling algorithm taking into computing capacity of processing elements and consideration their computational complexity. The authors 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 cannot provide on cloud systems.
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