SC '99 Proceedings of the 1999 ACM/IEEE conference on Supercomputing
Workload Modeling for Performance Evaluation
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
Distributed Job Scheduling on Computational Grids Using Multiple Simultaneous Requests
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Virtual screening on large scale grids
Parallel Computing
Optimizing jobs timeouts on clusters and production grids
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Impact of the execution context on Grid job performances
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Using the Grid for Enhancing the Performance of a Medical Image Search Engine
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
Workload characteristics of a multi-cluster supercomputer
JSSPP'04 Proceedings of the 10th international conference on Job Scheduling Strategies for Parallel Processing
Two experiments with application-level quality of service on the EGEE grid
Proceedings of the 2nd workshop on Grids meets autonomic computing
Issues and scenarios for self-managing grid middleware
Proceedings of the 2nd workshop on Grids meets autonomic computing
TeraGrid resource selection tools: a road test
Proceedings of the 2010 TeraGrid Conference
On-demand service hosting on production grid infrastructures
The Journal of Supercomputing
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Production-grid users experience many system faults as well as high and variable latencies due to the scale, complexity and sharing of such infrastructures. To improve performance, they adopt different submission strategies, that are potentially aggressive for the infrastructure. This work studies the impact of three different strategies. It is based on a probabilistic modeling of these strategies which are evaluated according to their performance, measured as the reduction of the latency expectation, and the infrastructure overhead, measured as the additional number of submitted jobs. A strategy cost criterion is then derived. Experiments are performed using real workload traces collected from the EGEE production infrastructure. Under these conditions, a good balance between high performance and low overhead can be found.