In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we target a multi-cluster environment where clusters can be homogeneous or heterogeneous, and use different policies for their local resources management. In this context, we propose a reallocation mechanism that migrates jobs in waiting state from one cluster to another one. We perform simulations using real traces of jobs to study the benefit of reallocation. We compare two different algorithms providing the reallocation mechanism, each with several heuristics to schedule jobs. Results show that in some cases it is possible to obtain a substantial gain on the average job response time (almost up to a factor of four). In the other cases, the real...
Navigation or dynamic scheduling of applications on computational grids can be improved through the ...
In this paper we propose a novel framework for the dynamic allocation of jobs in grid-like environme...
International audienceGrids reliability remains an order of magnitude below clusters on production i...
In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we ta...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
AbstractEfficient job scheduling in computational grids is a challenging task, especially when the w...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Abstract — Computational grids have the potential for solving large-scale scientific problems using ...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
Computational grids make it possible to exploit grid resources across multiple clusters when grid jo...
theme du Workshop : Workload characterization and modellingWith Grids, we are able to share computin...
Navigation or dynamic scheduling of applications on computational grids can be improved through the ...
In this paper we propose a novel framework for the dynamic allocation of jobs in grid-like environme...
International audienceGrids reliability remains an order of magnitude below clusters on production i...
In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we ta...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
International audienceIn this paper, we study the impact of task reallocations/migrations on a Grid ...
The work presented in this Thesis is about scheduling applications in computational Grids. We study ...
AbstractEfficient job scheduling in computational grids is a challenging task, especially when the w...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Abstract — Computational grids have the potential for solving large-scale scientific problems using ...
The major GRID infastructures are designed mainly for batch-oriented computing with coarse-grained j...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
Computational grids make it possible to exploit grid resources across multiple clusters when grid jo...
theme du Workshop : Workload characterization and modellingWith Grids, we are able to share computin...
Navigation or dynamic scheduling of applications on computational grids can be improved through the ...
In this paper we propose a novel framework for the dynamic allocation of jobs in grid-like environme...
International audienceGrids reliability remains an order of magnitude below clusters on production i...