Energy management of highly dynamic server workloads in an heterogeneous data center

We propose a hybrid management model to address heterogeneous data center energy efficiency with highly dynamic workload. A central dispatch and control algorithm with distributed system energy management was implemented and validated on real processor and system. We demonstrate up to 20% energy savings (11% average) without compromising quality of service. Additional 5% average energy savings was achieved by exploiting system heterogeneity.