International audienceProduction-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 infr...
Independent observations and everyday user experience indicate that performance and reliability of l...
Production grids are complex and highly variable systems whose behavior is not well understood and d...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Research Report I3S laboratory, number I3S/RR-2009-17-FR, Sophia AntipolisProduction-grid users expe...
International audienceProduction-grid users experience many system faults as well as high and variab...
International audienceGrids reliability remains an order of magnitude below clusters on production i...
International audienceIn this paper, we study grid job submission latencies. The latency highly impa...
International audienceIt is commonly observed that production grids are inherently unreliable. The a...
International audienceIn this paper, we examine how the execution context of grid jobs can help to r...
Abstract. In this paper, we study grid job submission latencies. The latency highly impacts performa...
International audienceIn this paper, we study grid jobs latency. Together with outliers, latency hig...
Scientic communities are using a growing number of distributed systems, from lo- cal batch systems, ...
International audienceProduction grids have a potential for parallel execution of a very large numbe...
Independent observations and everyday user experience indicate that performance and reliability of l...
Independent observations and everyday user experience indicate that performance and reliability of l...
Independent observations and everyday user experience indicate that performance and reliability of l...
Production grids are complex and highly variable systems whose behavior is not well understood and d...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...
Research Report I3S laboratory, number I3S/RR-2009-17-FR, Sophia AntipolisProduction-grid users expe...
International audienceProduction-grid users experience many system faults as well as high and variab...
International audienceGrids reliability remains an order of magnitude below clusters on production i...
International audienceIn this paper, we study grid job submission latencies. The latency highly impa...
International audienceIt is commonly observed that production grids are inherently unreliable. The a...
International audienceIn this paper, we examine how the execution context of grid jobs can help to r...
Abstract. In this paper, we study grid job submission latencies. The latency highly impacts performa...
International audienceIn this paper, we study grid jobs latency. Together with outliers, latency hig...
Scientic communities are using a growing number of distributed systems, from lo- cal batch systems, ...
International audienceProduction grids have a potential for parallel execution of a very large numbe...
Independent observations and everyday user experience indicate that performance and reliability of l...
Independent observations and everyday user experience indicate that performance and reliability of l...
Independent observations and everyday user experience indicate that performance and reliability of l...
Production grids are complex and highly variable systems whose behavior is not well understood and d...
Thousands of scientific users witness every day inherent instabilities and bottlenecks of large-scal...