International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in particular the requirement of high performance an efficient algorithm must fulfill. Advance Reservation engages a distributed, dynamic, fault-tolerant and efficient strategy which reserves resources for future task execution. The paper presents the main features of the strategy, the functioning mechanism the strategy is based on and the methods used for evaluating the algorithm
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
International audienceScheduling applications on wide-area distributed systems is useful for obtaini...
Grid computing systems utilize distributively owned and geographically dispersed resources for provi...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
Scheduling is an active research area in the Computational Grid environment. The objective of grid s...
Advance reservations (ARs) were introduced for application-level dynamic scheduling of resources in ...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Grid computing is a computing framework to meet growing demands for running heterogeneous grid enabl...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
International audienceScheduling applications on wide-area distributed systems is useful for obtaini...
Grid computing systems utilize distributively owned and geographically dispersed resources for provi...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Abstract — We consider the problem of providing QoS guarantees to Grid users through advance reserva...
Scheduling is an active research area in the Computational Grid environment. The objective of grid s...
Advance reservations (ARs) were introduced for application-level dynamic scheduling of resources in ...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
Grid computing is a computing framework to meet growing demands for running heterogeneous grid enabl...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
The purpose of grid computing is to produce a virtual supercomputer by using free resources availabl...
Computational grids have the potential for solving large-scale scientific problems using heterogeneo...
Grid computing can be thought of as large-scale distributed cluster computing and distributed parall...