The AppLeS parameter sweep template: user-level middleware for the grid
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Task assignment with unknown duration
Journal of the ACM (JACM)
Host load prediction using linear models
Cluster Computing
Cactus Tools for Grid Applications
Cluster Computing
Performance Modeling and Prediction of Nondedicated Network Computing
IEEE Transactions on Computers
Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Adaptive Computing on the Grid Using AppLeS
IEEE Transactions on Parallel and Distributed Systems
Matchmaking: Distributed Resource Management for High Throughput Computing
HPDC '98 Proceedings of the 7th IEEE International Symposium on High Performance Distributed Computing
UMR: A Multi-Round Algorithm for Scheduling Divisible Workloads
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Grid Harvest Service: A System for Long-Term, Application-Level Task Scheduling
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
Memory Conscious Task Partition and Scheduling in Grid Environments
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Practical Divisible Load Scheduling on Grid Platforms with APST-DV
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Task scheduling strategies for workflow-based applications in grids
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
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Effective task scheduling and deployment is hard to achieve in a Grid environment, where computing resources are heterogamous and shared between local and Grid users without a central control. Current scheduling systems, such as AppLeS, use NWS (Network Weather Service) for short-term estimation of resource availability and do not address the influence of the variation of resource availability in task scheduling. These inherent limitations prevent existing scheduling systems from working effectively to solve large-scale tasks in a Grid environment. Adopting APST (AppLeS Parameter Sweep Template) as the deployment environment, we have developed a task scheduling system for large-scale applications based on our recent results in performance prediction and task scheduling. Preliminary experimental results show that the newly developed system works well and is significantly more appropriate for large applications than existing systems.