Operating system concepts (3rd ed.)
Operating system concepts (3rd ed.)
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
An Algorithm for Scheduling Jobs in Hypercube Systems
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Parallel and Distributed Systems
Contention-Free 2D-Mesh Cluster Allocation in Hypercubes
IEEE Transactions on Computers
IEEE Transactions on Parallel and Distributed Systems
Evaluation of Job-Scheduling Strategies for Grid Computing
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Enhanced Algorithms for Multi-site Scheduling
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Real-Time Job Scheduling in Hypercube Systems
ICPP '97 Proceedings of the international Conference on Parallel Processing
The ANL/IBM SP Scheduling System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Parallel Job Scheduling: Issues and Approaches
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Packing Schemes for Gang Scheduling
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The EASY - LoadLeveler API Project
IPPS '96 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
Theory and Practice in Parallel Job Scheduling
IPPS '97 Proceedings of the 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
Economic Scheduling in Grid Computing
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
Trace-Based Simulations of Processor Co-Allocation Policies in Multiclusters
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
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
The workload on parallel supercomputers: modeling the characteristics of rigid jobs
Journal of Parallel and Distributed Computing
Benefits of Global Grid Computing for Job Scheduling
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
TruGrid: A Self-Sustaining Trustworthy Grid
ICDCSW '05 Proceedings of the First International Workshop on Mobility in Peer-to-Peer Systems - Volume 08
Scheduling Policies for Processor Coallocation in Multicluster Systems
IEEE Transactions on Parallel and Distributed Systems
The Journal of Supercomputing
ICPADS '09 Proceedings of the 2009 15th International Conference on Parallel and Distributed Systems
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
TLA: Temporal look-ahead processor allocation method for heterogeneous multi-cluster systems
Journal of Parallel and Distributed Computing
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Grid performance are usually measured by the average turnaround time of all jobs in the system. A job's turnaround time consists of two parts: queue waiting time and actual execution time, which in a heterogeneous grid environment, are severely affected by the resource fragmentation and speed heterogeneity factors. Most existing processor allocation methods focus on one of these two factors only. This paper proposes processor allocation methods, which consider both resource fragmentation and speed heterogeneity, to improve system performance of heterogeneous grids. Extensive simulation studies have been conducted to show that the proposed methods can effectively deliver better performance under most resource and workload conditions.