2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom) (2014)
Dec. 15, 2014 to Dec. 18, 2014
Energy efficiency of cloud data centers is of great concern today and has been tackled by many researchers. Dynamic VM placement is a well-known strategy to improve energy efficiency of a data center. Virtual machines (VMs) under light load are consolidated into a small number of physical machines (PMs) to turn idle PMs into low-power states. Although live migration is essential for dynamic VM placement, former studies have not yet revealed how energy overhead of live migration has impact on energy efficiency of dynamic VM placement. To tackle this problem, we conducted integrated simulation of energy overhead of live migration and dynamic VM placement sing Sim Grid. We used three dynamic VM placement policies and two live migration mechanisms (existing pre-copy and an accelerated mechanism invented by us) to thoroughly evaluate the energy overhead. The results showed that in the worst case energy overhead of live migration occupies 5.8% of total energy consumption of a data center.
Energy consumption, Memory management, Heuristic algorithms, Servers, Acceleration, Load modeling, Mathematical model
Soramichi Akiyama, Takahiro Hirofuchi, Shinichi Honiden, "Evaluating Impact of Live Migration on Data Center Energy Saving", 2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom), vol. 00, no. , pp. 759-762, 2014, doi:10.1109/CloudCom.2014.42