Robust resource allocation in a massive multiplayer online gaming environment
Proceedings of the 4th International Conference on Foundations of Digital Games
A dynamic task scheduling algorithm in grid environment
TELE-INFO'06 Proceedings of the 5th WSEAS international conference on Telecommunications and informatics
Statistical measures for quantifying task and machine heterogeneities
The Journal of Supercomputing
A dynamic task scheduling approach based on wasp algorithm in grid environment
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Parallel resource co-allocation for the computational grid
Computer Languages, Systems and Structures
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The Computational Grid is an appealing high performance computational platform. Problem in implementing Computational Grid environment is how to effectively use various resources in the system, such as compute cycle, memory, communication network, and data repositories. A benefit function Resource Mapping heuristic for Computational Grid Environments is presented to map a set of independent tasks (Meta-task) to resources. The algorithm considers the influence of input data repositories' location and QOS of tasks to result of mapping. This semi-dynamic algorithm is more suitable for the Dynamic adaptability and Domain autonomy in the Grid, and the benefit function heuristic adopted in the algorithm can assure the QOS of tasks more effectively.