Add to ORKGInternational audienceIn this paper, we study the impact of task reallocations/migrations on a Grid platform, composed of parallel resources, each supervised by a batch scheduler. Results of simulations using real life traces show that gains of 40\% can be attained on the average waiting time of jobs even if tasks are initially mapped by a meta-scheduler on the cluster giving the best completion time
A central issue in Grid computing is the fact that resources (compute and communication fabrics) may...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Grid computing supports workload execution on computing resources that are shared across a set of co...
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 ...
In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we ta...
Abstract: Various aspects of the task scheduling in GRID are considered. The possible appr...
Some meta-schedulers query the information system of individual supercomputers in order to submit jo...
Abstract — Computational grids have the potential for solving large-scale scientific problems using ...
Resource management effective scheduling algorithms is also increasing rapidly, particularly in the ...
International audienceIn this article, we expose how the availability of an increasing computational...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Over the last years, interoperability among resources has been emerged as one of the most challengin...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
A central issue in Grid computing is the fact that resources (compute and communication fabrics) may...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Grid computing supports workload execution on computing resources that are shared across a set of co...
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 ...
In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we ta...
Abstract: Various aspects of the task scheduling in GRID are considered. The possible appr...
Some meta-schedulers query the information system of individual supercomputers in order to submit jo...
Abstract — Computational grids have the potential for solving large-scale scientific problems using ...
Resource management effective scheduling algorithms is also increasing rapidly, particularly in the ...
International audienceIn this article, we expose how the availability of an increasing computational...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Over the last years, interoperability among resources has been emerged as one of the most challengin...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
The co-allocation of resources for the parallel execution of distributed MPI applications in a Grid ...
A central issue in Grid computing is the fact that resources (compute and communication fabrics) may...
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Grid computing supports workload execution on computing resources that are shared across a set of co...