Add to ORKGAlso available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One 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
Computational grids allow users to share resources of distributed machines, even if those machines b...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
Also available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One of the true chall...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
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: Various aspects of the task scheduling in GRID are considered. The possible appr...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Grid computing systems utilize distributively owned and geographically dispersed resources for provi...
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...
Computational grids allow users to share resources of distributed machines, even if those machines b...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
Also available as LIP Research Report 2006-01 and INRIA Research Report RR-5815One of the true chall...
One of the true challenges in resource management in grids is to provide support for co-allocation, ...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
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: Various aspects of the task scheduling in GRID are considered. The possible appr...
Tasks running in computational Grids may require simultaneous access to multiple resources. To ensur...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Grid computing systems utilize distributively owned and geographically dispersed resources for provi...
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...
Computational grids allow users to share resources of distributed machines, even if those machines b...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...