DOI: 10.3724/SP.J.1087.2013.03331

Journal of Computer Applications (计算机应用) 2013/33:12 PP.3331-3334

Energy-saving optimization in datacenter based on virtual machine scheduling

With the increasing energy consumption in current data centers, many emerging energy-saving mechanisms have been proposed to reduce the energy consumption, but most of these methods assume data center is in a homogeneous environment. However, most of current data centers are heterogeneous as different types of servers are purchased at different time in reality. An energy-efficient method named Primary Virtual Machine Allocation Policy (PVMAP) was proposed, with the performance/power introduced as a parameter to indicate the energy efficiency of each server. The server of high energy efficiency would be fully utilized with high priority in the dynamic Virtual Machine (VM) consolidation. Also the consolidation process would try to minimize the VM migrations and running hosts in the end. The simulation results demonstrate that the PVMAP can guarantee the energy conservation and Quality of Service (QoS) at the same time, and it has better stability and extensibility.

Key words:data center,virtual machine scheduling,performance/power,CloudSim

ReleaseDate:2014-07-21 16:59:39