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...
Abstract: In this paper we propose a new method of resource distribution between computati...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
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...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
In large-scale grid systems, plenty of applications are constrained by soft or hard deadline require...
Abstract: Executing complex applications on Grid infrastructures necessitates the guaran-teed alloca...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Abstract: Various aspects of the task scheduling in GRID are considered. The possible appr...
Grid Computing is intended to provide resource sharing and solve huge amount of complicated problems...
AbstractEfficient job scheduling in computational grids is a challenging task, especially when the w...
Abstract: In this paper we propose a new method of resource distribution between computati...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
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...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
In large-scale grid systems, plenty of applications are constrained by soft or hard deadline require...
Abstract: Executing complex applications on Grid infrastructures necessitates the guaran-teed alloca...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
We present a new algorithm for resource allocation in large, heterogeneous grids. Its main advantage...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Abstract: Various aspects of the task scheduling in GRID are considered. The possible appr...
Grid Computing is intended to provide resource sharing and solve huge amount of complicated problems...
AbstractEfficient job scheduling in computational grids is a challenging task, especially when the w...
Abstract: In this paper we propose a new method of resource distribution between computati...
In multicluster systems, and more generally, in grids, jobs may require co-allocation, i.e., the sim...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...