As the computational and data handling requirements of large scientific collaborations grow, Grid computing is rapidly emerging as a feasible solution to these requirements. Optimising the use of Grid resources is crucial, and to evaluate potential optimisation strategies it is important to simulate them as realistically as possible before they are used on real Grids. We have developed the Grid simulator OptorSim and used it to test several optimisation strategies using a set of performance metrics. In this paper we consider the e#ects of several scheduling and replica optimisation strategies and base our simulation environment on the UK Grid for Particle Physics (GridPP)
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
Computational grids allow users to share resources of distributed machines, even if those machines b...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
As the computational and data handling requirements of large scientific collaborations grow, Grid co...
In large-scale Grids, the replication of files to different sites is an important data management me...
Grid computing is fast emerging as the solution to the problems posed by the massive computational a...
In large-scale Grids, the replication of files to different sites is an important data management me...
Many current international scientific projects are based on large scale applications that are both c...
Many current international scientific projects are based on large scale applications that are both c...
Grid computing is fast emerging as the solution to the problems posed by the massive computational a...
Computational Grids normally deal with large computationally intensive problems on small data sets. ...
Computational Grids process large, computationally intensive problems on small data sets. In contras...
Computational grids process large, computationally intensive problems on small data sets. In contras...
Computational grids process large, computationally intensive problems on small data sets. In contras...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
Computational grids allow users to share resources of distributed machines, even if those machines b...
This paper deals with the performance optimization of multiple-task applications in GRID environment...
As the computational and data handling requirements of large scientific collaborations grow, Grid co...
In large-scale Grids, the replication of files to different sites is an important data management me...
Grid computing is fast emerging as the solution to the problems posed by the massive computational a...
In large-scale Grids, the replication of files to different sites is an important data management me...
Many current international scientific projects are based on large scale applications that are both c...
Many current international scientific projects are based on large scale applications that are both c...
Grid computing is fast emerging as the solution to the problems posed by the massive computational a...
Computational Grids normally deal with large computationally intensive problems on small data sets. ...
Computational Grids process large, computationally intensive problems on small data sets. In contras...
Computational grids process large, computationally intensive problems on small data sets. In contras...
Computational grids process large, computationally intensive problems on small data sets. In contras...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
Scheduling is an important research topic in Grid computing. This is due to the aim of Grids to offe...
Computational grids allow users to share resources of distributed machines, even if those machines b...
This paper deals with the performance optimization of multiple-task applications in GRID environment...