A MULTI-OBJECTIVE HYBRID ACO-PSO OPTIMIZATION ALGORITHM FOR VIRTUAL MACHINE PLACEMENT IN CLOUD COMPUTING

B. Benita Jacinth Suseela, V. Jeyakrishnan

Abstract: Cloud computing is made possible through virtualization technology which makes virtual machines (VMs) to be placed in physical servers. The process of assigning VMs to servers is called virtual machine placement. VM placement in cloud is done by focusing on many objectives like VM allocation time, energy consumption, SLA violation, utilization of resources, etc. In this paper, a multiobjective hybrid ACO-PSO optimization algorithm is proposed for minimizing resource wastage, minimizing power consumption and for load balancing in physical servers. Simulation results show that the proposed algorithm reduces resource wastage and power consumption and also provides load balancing in servers when compared to the existing multi-objective ant colony system algorithm

Keywords: Cloud computing, Multi-objective optimization, Virtual machine and Virtual machine placement

DOI: https://doi.org/10.15623/ijret.2014.0304084