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IEEE Transactions on Parallel and Distributed Systems
SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Simulation Modeling and Analysis
Simulation Modeling and Analysis
On Exploiting Heterogeneity for Cluster Based Parallel Multithreading Using Task Duplication
The Journal of Supercomputing
Enhanced Algorithms for Multi-site Scheduling
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Gang Scheduling in a Distributed System under Processor Failures and Time-Varying Gang Size
FTDCS '03 Proceedings of the The Ninth IEEE Workshop on Future Trends of Distributed Computing Systems
Distributed Job Scheduling on Computational Grids Using Multiple Simultaneous Requests
HPDC '02 Proceedings of the 11th 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
Resource scheduling on grid: handling uncertainty
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
A comparison of local and gang scheduling on a Beowulf cluster
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
Computer system performance problem detection using time series models
Usenix-stc'93 Proceedings of the USENIX Summer 1993 Technical Conference on Summer technical conference - Volume 1
PaCT '09 Proceedings of the 10th International Conference on Parallel Computing Technologies
Multi-Site Allocation Policies on a Grid and Local Level
Electronic Notes in Theoretical Computer Science (ENTCS)
Safety scheduling strategies in distributed computing
International Journal of Critical Computer-Based Systems
Multicriteria scheduling strategies in scalable computing systems
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
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Most previous research on job scheduling for multi-site distributed systems does not take into consideration behavioral trends when applying a scheduling method. In this paper, we address the scheduling of parallel jobs in a multi-site environment, where each site has a homogeneous cluster of non-dedicated processors where users submit jobs to be executed locally, while at the same time, external parallel jobs are submitted to a meta-scheduler. We use collected load data to model the performance trends that each site exhibits in order to predict load values via time-series analysis and then perform scheduling based on the predicted values.