In large-scale Grids, the replication of files to different sites is an important data management mechanism which can reduce access latencies and give improved usage of resources such as network bandwidth, storage and computing power. In the search for an optimal data replication strategy, the Grid simulator OptorSim was developed as part of the European DataGrid project. Simulations of various HEP Grid scenarios have been undertaken using different job scheduling and file replication algorithms, with the experimental emphasis being on physics analysis use-cases. Previously, the CMS Data Challenge 2002 testbed and UK GridPP testbed were among those simulated; recently, our focus has been on the LCG testbed. A novel economy-based strategy ha...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
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...
Computational Grids process large, computationally intensive problems on small data sets. In contras...
Many current international scientific projects are based on large scale applications that are both c...
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 is fast emerging as the solution to the problems posed by the massive computational a...
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. ...
As the computational and data handling requirements of large scientific collaborations grow, Grid co...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
The next generation of high energy physics experiments, such as the Large Hadron Collider (LHC) at C...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
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...
Computational Grids process large, computationally intensive problems on small data sets. In contras...
Many current international scientific projects are based on large scale applications that are both c...
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 is fast emerging as the solution to the problems posed by the massive computational a...
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. ...
As the computational and data handling requirements of large scientific collaborations grow, Grid co...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
The next generation of high energy physics experiments, such as the Large Hadron Collider (LHC) at C...
Abstract--Grid computing provides virtual organizations of geographically distributed users with sof...
Data Grid is an infrastructure that manages huge amount of data files, and provides intensive comput...
In data grids huge amount of data are generated and processed by users around the world. Objective o...