Modeling and Managing Energy Efficiency Data Center by a Live Migration Mechanism in Mobile Cloud Computing Environments

作者：Sun Dawei^*; Chang Guiran; Wang Dongqi; Chen Dong; Wang Xingwei

来源：Sensor Letters, 2012, 10(8): 1855-1861.

DOI：10.1166/sl.2012.2611

• Energy Efficiency
• Live Migration
• Data Center
• Mobile Cloud
• Cloud Computing
• Computer Applications

In mobile cloud computing environments, mobile cloud devices, such as smartphone, sensor, can do compute-intensive operations, such as searching, by a cloud platform. Moreover, high energy efficiency issue is one of the major obstacles for opening up the new era of energy efficiency mobile clouds. In most current clouds high energy efficiency is ignored, this justifies the importance of modeling and managing energy efficiency large-scale virtualized data center so as to minimize energy consumption in mobile clouds. In this paper, a novel energy consumption model by a heuristic virtual machine scheduling mechanism to maximizing cloud system energy efficiency is put forward with a brief survey of high energy efficiency suitable for large-scale distributed virtual computing environments. It includes: (a) modeling the general energy consumption model and virtual machine live migration cost model for mobile clouds; (b) managing high energy efficiency virtual machine live migration by a heuristic virtual machine scheduling mechanism in cloud data center; (c) designing the heuristic virtual machine scheduling algorithm in a mobile clouds. Theoretical as well as experimental results conclusively demonstrate that the heuristic virtual machine scheduling algorithm has high potential in dealing with the high energy high performance trade-off, provides a highly energy efficiency data center, and minimizes energy consumption in mobile clouds.

• 出版日期2012-12
• 单位东北大学