Coordinated Co-allocation Scheduling on Heterogeneous Clusters of SMPs

Job scheduling research for parallel systems has been widely exploited in recent years, especially in centers with high performance computing facilities. In the recent past we presented the eNANOS execution environment which is based on a coordinated architecture, from the CPU allocation to the grid scheduling, providing a good low level support to perform an efficient high level scheduling. In this paper we present and evaluate the multi-node scheduling configuration of eNANOS that is implemented through the eNANOS Scheduler. Moreover, we introduce our scheduling strategy based on co-allocation and the coordination with dynamic processor allocation techniques. Finally, through experimental evaluation we state that our architecture and scheduling strategy can improve the applications execution and the system performance on heterogeneous clusters composed of SMP architectures.