One of the true challenges in resource management in grids is to provide support for co-allocation, that is, the allocation of resources in multiples autonomous subsystems of a grid to single jobs. With reservation-based local schedulers, a grid scheduler can reserve processors with these schedulers to achieve simultaneous processor availability. However, with queuing-based local schedulers, it is much more difficult to guarantee this. In this paper we present mechanisms and policies for working around the lack of reservation mechanisms for jobs with deadlines that require co-allocation, and simulations of these mechanisms and policies.Un des véritables défis pour la gestion des ressources dans les environnements de type grilles est de four...
New computing applications require nowadays a physical distribution of computing resources. These ge...
La démocratisation des nouvelles plateformes d'exécution parallèles et distribuées, notamment les gr...
In this paper, we address problems of efficient computing in distributed systems with non-dedicated ...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Also available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One of the true chall...
In large-scale grid systems, plenty of applications are constrained by soft or hard deadline require...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Computational grids make it possible to exploit grid resources across multiple clusters when grid jo...
AbstractEfficient job scheduling in computational grids is a challenging task, especially when the w...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
We present algorithms for the scheduling sequential tasks on a Network Enabled Server (NES) environm...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
International audienceScheduling applications on wide-area distributed systems is useful for obtaini...
In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we ta...
New computing applications require nowadays a physical distribution of computing resources. These ge...
La démocratisation des nouvelles plateformes d'exécution parallèles et distribuées, notamment les gr...
In this paper, we address problems of efficient computing in distributed systems with non-dedicated ...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Also available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One of the true chall...
In large-scale grid systems, plenty of applications are constrained by soft or hard deadline require...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Computational grids make it possible to exploit grid resources across multiple clusters when grid jo...
AbstractEfficient job scheduling in computational grids is a challenging task, especially when the w...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
We present algorithms for the scheduling sequential tasks on a Network Enabled Server (NES) environm...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
International audienceScheduling applications on wide-area distributed systems is useful for obtaini...
In this paper, we study the impact of tasks reallocation onto a grid platform. More precisely, we ta...
New computing applications require nowadays a physical distribution of computing resources. These ge...
La démocratisation des nouvelles plateformes d'exécution parallèles et distribuées, notamment les gr...
In this paper, we address problems of efficient computing in distributed systems with non-dedicated ...