Abstract. Grids offer a great opportunity to find solutions to HPC problems. For these architectures, because of their large dimensions and dynamic nature, a simulation tool can be useful,for example, to de-sign parallel applications for Grids or as a tool for the study of efficient metaschedulers. To optimise the execution of parallel applications on a Grid, an extension of GridSim toolkit to support parallel applications was developed. Several components to model parallel applications were included: as job models for different kinds of applications, models for internal networks and different local parallel schedulers. Also, due to the importance of resource failures in parallel applications on Grids, a frame-work to support checkpointing ...
Over the years, many heuristic algorithms have been proposed for solving various Grid scheduling pro...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
In parallel and distributed computing environment such as "The Grid", anticipating the behavior of t...
The study of scheduling algorithms for parallel tasks in a grid computing contexteither neglects loc...
Computational grids allow users to share resources of distributed machines, even if those machines b...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
Many advances in grid resource management are still required to realize the grid computing vision of...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
International audienceSince the advent of distributed computer systems an active field of research h...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
(eng) Most scheduling problems are already hard on homogeneous platforms, they become quite intracta...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
Over the years, many heuristic algorithms have been proposed for solving various Grid scheduling pro...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...
In parallel and distributed computing environment such as "The Grid", anticipating the behavior of t...
The study of scheduling algorithms for parallel tasks in a grid computing contexteither neglects loc...
Computational grids allow users to share resources of distributed machines, even if those machines b...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
In this paper we present the Grid Scheduling Simulator (GSSIM), a comprehensive and advanced simulat...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
Many advances in grid resource management are still required to realize the grid computing vision of...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
International audienceSince the advent of distributed computer systems an active field of research h...
Clusters, Grids, and peer-to-peer (P2P) networks have emerged as popular paradigms for next generati...
(eng) Most scheduling problems are already hard on homogeneous platforms, they become quite intracta...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
Over the years, many heuristic algorithms have been proposed for solving various Grid scheduling pro...
Analysis of algorithms for Grid computing systems before deployment in real Grid infrastructures is ...
Grid computing offers a model for solving large-scale scientific problems by uniting computational r...