Abstract
In this paper, we propose a directed hypergraph with parameters to describe general, heterogeneous, distributed and dynamic grid task requests. With the design of GHDL (Grid Heterogeneous task graph Definition Language), grid task requests are uniformly encapsulated and recognized by heterogeneous computers. Furthermore, we provide an effective solution for scheduling parallel tasks with priority constraints and data dependency. With self-adaptive scheduling strategy library, different types of tasks can be executed and optimized. We deal with the heterogeneity of grid environment and tasks by matching client with hosting machine. The dynamic resource problem is solved by runtime monitoring and task migration. A simulation experiment of tree growth in grid environment shows very promising results.
Supported by the 863 High-Tech Project under grant of 2004AA104340, the National Natural Science Foundation of China under grant of 60173026 and SEC E-Institute: Shanghai High Institutions Grid under grant of 200301-1.
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Qiao, W., Zeng, G., Hua, A., Zhang, F. (2005). Scheduling and Executing Heterogeneous Task Graph in Grid Computing Environment. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_60
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DOI: https://doi.org/10.1007/11590354_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
Online ISBN: 978-3-540-32277-1
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