An energy efficient resource management method in virtualized cloud environment

Abstract

Energy efficiency of cloud computing attracts a great deal of attention recently more than ever. In this paper, based on the characteristics of virtualized cloud environment and MapReduce workload, an energy efficiency management method called EECLOUD is presented. The method involves two strategies: VM allocation and dynamic VM placement strategies. The VM allocation strategy aims at maximizing an energy utility function making trade-off between job runtime and allocated virtual resources. And the VM placement strategy makes energy-aware scheme to place VMs on servers taking into account both VM duration and resource capacity. Additionally, a dynamic VM-host mapping algorithm is proposed to place VMs to the least amount of physical server, which uses live migration to enhance capacity utilization. The experimental results show that our approach achieves greater energy savings over existing methods.