International 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
Scheduling in metacomputing environments is an active field of research as the vision of a Computati...
Grid computing generally involves the aggregation of geographically distributed resources in the con...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
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 ...
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 ...
Over the last years, interoperability among resources has been emerged as one of the most challengin...
Grid computing supports workload execution on computing resources that are shared across a set of co...
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 generally involves the aggregation of geographically distributed resources in the con...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
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 ...
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 ...
Over the last years, interoperability among resources has been emerged as one of the most challengin...
Grid computing supports workload execution on computing resources that are shared across a set of co...
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 generally involves the aggregation of geographically distributed resources in the con...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...