Future Generation Computer Systems - Special issue on metacomputing
Performance-Effective and Low-Complexity Task Scheduling for Heterogeneous Computing
IEEE Transactions on Parallel and Distributed Systems
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Scheduling Data-IntensiveWorkflows onto Storage-Constrained Distributed Resources
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Scheduling strategies for mapping application workflows onto the grid
HPDC '05 Proceedings of the High Performance Distributed Computing, 2005. HPDC-14. Proceedings. 14th IEEE International Symposium
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In this paper we analyze the scientific workflow matchmaking problem in Grid environments and combine workflow mapping and scheduling. Based on the characteristics of Grids, a new resource model is proposed. Motivated by the observations that not all jobs can run on all resources and that resource-critical jobs should be considered with their ancestor and descendant jobs when mapping, a novel resource-critical algorithm is designed based on a new Grid resource model. By means of experiments, it is shown to have good performance.