Preemption-Aware Energy Management in Virtualized DataCenters
Energy efficiency is one of the main challenges that datacenters are facing nowadays. A considerable portion of the consumed energy in these environments is wasted because of idling resources. To avoid wastage, offering services with variety of SLAs (with different prices and priorities) is a common practice. The question the authors investigate in this research is how the energy consumption of a datacenter that offers various SLAs can be reduced. To answer this question they propose an adaptive energy management policy that employs Virtual Machine (VM) preemption to adjust the energy consumption based on user performance requirements. They have implemented their proposed energy management policy in Haizea as a real scheduling platform for virtualized datacenters.