Energy-Saving Resource Allocation in Cloud Data Centers

Abstract

As the demands of cloud computing intensify, more facilities running power-intensive servers are necessary for cloud data centers. Such data center servers consume a large amount of energy, resulting in high operating costs. Therefore, high energy consumption has become a growing problem for cloud data centers. This paper proposes two energy-saving resource allocation algorithms that take into account several energy efficiency factors: resource allocation policies, power management techniques, and power models for better energy management in cloud data centers. These two algorithms are implemented on CloudSim toolkit and evaluated with real-world workload data. By the experimental evaluation of these algorithms for competitive analysis of energy consumption, we found that this work contributes to save the energy consumption in cloud data centers.