Abstract
ABSTRACTCloud computing has become more popular with the ability to run HPC applications on cloud infrastructures. Improving the energy efficiency of these data centers become important for all the cloud providers. We observe that bin-packing heuristics such as Best-Fit Decreasing for energy-aware virtual machine (VM) allocation could not provide the optimal solution to minimize the total energy consumption of the data center. In this work, we explore the virtual machines provisioning considering multi-dimensional resources and energy consumption of the data center. We propose to use JAYA algorithm for optimal placement and minimizing the energy consumption of the data center. Our simulation results show the proposed algorithm could reduce the total energy consumption up to 34% and SLA by 15% compared with the Particle Swarm Optimization and power-aware best-fit decreasing.
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