A Pliant-based Virtual Machine Scheduling Solution to Improve the Energy Efficiency of IaaS Clouds

Abstract

Recently cloud computing is facing increasing attention as it is applied in many business scenarios by advertising the illusion of infinite resources towards its customers. Nevertheless, it raises severe issues with energy consumption: the higher levels of quality and availability require irrational energy expenditures. This paper proposes Pliant system-based virtual machine scheduling approaches for reducing the energy consumption of cloud datacenters. We have designed a CloudSim-based simulation environment for task-based cloud applications to evaluate our proposed solution, and applied industrial workload traces for our experiments. We show that significant savings can be achieved in energy consumption by our proposed Pliant-based algorithms, in this way a beneficial trade-off can be reached by IaaS providers between energy consumption and execution time.