Performance and energy aware cluster-level scheduling of compute-intensive jobs with unknown service times

In this paper we examine three local resource allocation policies, which are based on shortest queue, in a cluster with heterogeneous servers. Two of them are optimized for performance and the third one is optimized for energy conservation. We assume that there are two types of processors in the cluster, with different performance and energy characteristics. We consider that service times of jobs are unknown to the scheduler. A simulation model is used to evaluate the performance and energy behavior of the policies. Simulation results indicate that the differences among the policies depend on system load and there is a trade-off between performance and energy consumption.