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
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
. Computational grids are emerging as the new generation computing paradigm for tackling large scale...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
International audienceScheduling applications on wide-area distributed systems is useful for obtaini...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Grid computing systems utilize distributively owned and geographically dispersed resources for provi...
AbstractGrid computing enables large-scale resource sharing and collaboration for solving advanced s...
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 ...
Grid computing is a computing framework to meet growing demands for running heterogeneous grid enabl...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
AbstractA computational grid essentially represents a dynamic and distributed environment. Unlike, a...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
. Computational grids are emerging as the new generation computing paradigm for tackling large scale...
International audienceThe paper proposes a solution for the Grid scheduling problem, addressing in p...
International audienceScheduling applications on wide-area distributed systems is useful for obtaini...
Meeting QoS objectives of applications while maintaining high system utilization is a challenging ta...
Grid is a distributed high performance computing paradigm that offers various types of resources (li...
Grid computing systems utilize distributively owned and geographically dispersed resources for provi...
AbstractGrid computing enables large-scale resource sharing and collaboration for solving advanced s...
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 ...
Grid computing is a computing framework to meet growing demands for running heterogeneous grid enabl...
Grid computing is an accumulation of heterogeneous, dynamic resources from multiple administrative a...
AbstractA computational grid essentially represents a dynamic and distributed environment. Unlike, a...
Grids involve coordinated resource sharing and problem solving in heterogeneous dynamic environments...
The demand for high computational power has developed more rapidly in the past few years. The ever-i...
. Computational grids are emerging as the new generation computing paradigm for tackling large scale...