Scheduling parallelizable tasks to minimize average response time
SPAA '94 Proceedings of the sixth annual ACM symposium on Parallel algorithms and architectures
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Using moldability to improve the performance of supercomputer jobs
Journal of Parallel and Distributed Computing
Enhanced Algorithms for Multi-site Scheduling
GRID '02 Proceedings of the Third International Workshop on Grid Computing
A Symbolic Approachto Modeling Cellular Behavior
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
Parallel Job Scheduling: Issues and Approaches
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The Influence of Communication on the Performance of Co-allocation
JSSPP '01 Revised Papers from the 7th International Workshop on Job Scheduling Strategies for Parallel Processing
Local versus Global Schedulers with Processor Co-allocation in Multicluster Systems
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
The Performance of Processor Co-Allocation in Multicluster Systems
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
On Advantages of Grid Computing for Parallel Job Scheduling
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Benefits of Global Grid Computing for Job Scheduling
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Moldable parallel job scheduling using job efficiency: an iterative approach
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Adaptive job scheduling via predictive job resource allocation
JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
Towards feasible and effective load sharing in a heterogeneous computational grid
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Multisite co-allocation algorithms for computational grid
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Costs and benefits of load sharing in the computational grid
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
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In a computational grid environment, a common practice is try to allocate an entire parallel job onto a single participating site. Sometimes a parallel job, upon its submission, cannot fit in any single site due to the occupation of some resources by running jobs. How the job scheduler handles such situations is an important issue which has the potential to further improve the utilization of grid resources as well as the performance of parallel jobs. This paper develops adaptive processor allocation methods based on the moldable property of parallel jobs to deal with such situations in a heterogeneous computational grid environment. The proposed methods are evaluated through a series of simulations using real workload traces. The results indicate that adaptive processor allocation methods can further improve the system performance of a load sharing computational grid.