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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Weng, C., Li, M., & Lu, X. (2005). Resource management and scheduling for high performance computing application based on WSRF. In Lecture Notes in Computer Science (Vol. 3399, pp. 718–729). Springer Verlag. https://doi.org/10.1007/978-3-540-31849-1_69
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