Honolulu, HI, USA USA
June 24, 2012 to June 29, 2012
Energy efficiency is one of the main challengesthat datacenters are facing nowadays. A considerable portion ofthe consumed energy in these environments is wasted becauseof idling resources. To avoid wastage, offering services withvariety of SLAs (with different prices and priorities) is acommon practice. The question we investigate in this research ishow the energy consumption of a datacenter that offers variousSLAs can be reduced. To answer this question we propose anadaptive energy management policy that employs virtual machine(VM) preemption to adjust the energy consumption basedon user performance requirements. We have implementedour proposed energy management policy in Haizea as a realscheduling platform for virtualized datacenters. Experimentalresults reveal 18% energy conservation (up to 4000 kWh in30 days) comparing with other baseline policies without anymajor increase in SLA violation.
Switches, Energy management, Energy consumption, Engines, Equations, Mathematical model, Virtual machining, Energy efficiency; Virtual Machine (VM); datacenter;
Mohsen Amini Salehi, P. Radha Krishna, Krishnamurty Sai Deepak, Rajkumar Buyya, "Preemption-Aware Energy Management in Virtualized Data Centers", CLOUD, 2012, 2013 IEEE Sixth International Conference on Cloud Computing, 2013 IEEE Sixth International Conference on Cloud Computing 2012, pp. 844-851, doi:10.1109/CLOUD.2012.147