Indian Journal of Science and Technology
Year: 2015, Volume: 8, Issue: Supplementary 2, Pages: 1-4
V. Ashwin Kumar Sarma* , Rahul Rajendra, P. Dheepan and K.S. Sendhil Kumar
The process of mapping virtual machines to physical machines is known as virtual machine placement. In cloud computing environment optimal placement plays an important role for the improvement in power efficiency and resource utilization. In this paper, we study the Ant Colony optimisation and Multi-Objective Genetic Algorithm for the virtual machine placement problem. We propose an algorithm that combines both multi-objective algorithm and ant colony optimization. We also have designed an architecture for the proposed system. The algorithms were tested using some instances from the literature.
Keywords: ACO, Genetic Algorithm, IaaS, PaaS, SaaS, VM Placement.
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