Resource management and scheduling for high performance computing application based on WSRF

In this paper, we challenge the issue of resource management and scheduling in the grid context, which is compliant with WS-Resource Framework. Firstly, we focus on the high performance application, and model the large-scale scientific computing problem that can be decomposed into multiple sub-problems, which evolves to be represented by a DAG. Then, a hierarchical infrastructure for resource management in the grid context is proposed in accordance with the specifications of WS-Resource Framework. Thirdly, we discuss the scheduling issue in the presented scenario and present a modification of the DLS algorithm. At last we analyze the presented modified algorithm with simulation experiments.