An Improved Particle Swarm Optimization for Energy-Efficiency Virtual Machine Placement
Foudil Abdessamia, Yu Tai, Wei Zhe Zhang, Muhammad Faisal Shafiq · 2017
In the past few years, cloud computing has become one remarkable growing paradigm for offering services through the Internet on many levels. The increasing number of users requires resource provisioning strategy. Virtual machine (VM) placement is one of the keys to assure cloud consolidation and reduce power wastage. To resolve this problem, different approaches were proposed for VM placement strategies. This paper proposes a solution based on particle swarm optimization (PSO) for the virtual machine placement in the heterogeneous data center. In this work, we improved the PSO method to fit with virtual machine placement in data centers. Results show that improved PSO can find the optimal solution for low energy consumption comparing to First-fit, Best-fit, and worst-fit. In this paper, we discuss the results.