Molecular docking using shape descriptors
Journal of Computational Chemistry
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Journal of the ACM (JACM)
Dynamic Matching and Scheduling of a Class of Independent Tasks onto Heterogeneous Computing Systems
HCW '99 Proceedings of the Eighth Heterogeneous Computing Workshop
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
Execution of service workflows in grid environments
International Journal of Communication Networks and Distributed Systems
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During the past several years, the grid application executed same jobs on one or more hosts in parallel, but the recent grid application is requested to execute different jobs linearly. That is, the grid application takes the form of workflow application. In general, efficient scheduling of workflow applications is based on heuristic scheduling method. The heuristic considering relation between hosts would improve execution time in workflow applications. But because of the heterogeneity and dynamic nature of grid resources, it is hard to predict the performance of grid application. In addition, it is necessary to deal with user's QoS as like performance guarantee. In this paper, we propose a service model for predicting performance and an adaptive workflow scheduling strategy, which uses maximum flow algorithms for the relation of services and user's QoS. Experimental results show that the performance of our proposed scheduling strategy is better than common-used greedy strategies.