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Title: On demand Virtual Machine allocation and migration at cloud data center using Hybrid of Cat Swarm Optimization and Genetic Algorithm
Authors: Sharma, N.K.
Ram Mohana Reddy, Guddeti
Issue Date: 2017
Citation: Proceedings on 5th International Conference on Eco-Friendly Computing and Communication Systems, ICECCS 2016, 2017, Vol., , pp.27-32
Abstract: This paper deals with the energy saving at the data center using energy aware Virtual Machines (VMs) allocation and migration. The multi-objective based VMs allocation using Hybrid Genetic Cat Swarm Optimization (HGACSO) algorithm saves the energy consumption as well as also reduces resource wastage. Further consolidating VMs onto the minimal number of Physical Machines (PMs) using energy efficient VMs migration, we can shut down idle PMs for enhancing the energy efficiency at a cloud data center. The experimental results show that our proposed HGACSO VM allocation and energy efficient VM migration techniques achieved the energy efficiency and minimization of resource wastage. � 2016 IEEE.
Appears in Collections:2. Conference Papers

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