TY - GEN
T1 - Evaluating impact of live migration on data center energy saving
AU - Akiyama, Soramichi
AU - Hirofuchi, Takahiro
AU - Honiden, Shinichi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/2/9
Y1 - 2015/2/9
N2 - 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.
AB - 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.
KW - Data center
KW - Energy efficiency
KW - Live migration
UR - http://www.scopus.com/inward/record.url?scp=84937919072&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84937919072&partnerID=8YFLogxK
U2 - 10.1109/CloudCom.2014.42
DO - 10.1109/CloudCom.2014.42
M3 - Conference contribution
AN - SCOPUS:84937919072
T3 - Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
SP - 759
EP - 762
BT - Proceedings - 2014 IEEE 6th International Conference on Cloud Computing Technology and Science, CloudCom 2014
PB - IEEE Computer Society
T2 - 2014 6th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2014
Y2 - 15 December 2014 through 18 December 2014
ER -
