Add to ORKGGrid computing is fast emerging as the solution to the problems posed by the massive computational and data handling requirements of many current international scientific projects. Simulation of the Grid environment is important to evaluate the impact of potential data handling strategies before being deployed on the Grid. In this paper, we look at the effects of various job scheduling and data replication strategies and compare them in a variety of Grid scenarios, evaluating several performance metrics. We use the Grid simulator OptorSim, and base our simulations on a world-wide Grid testbed for data intensive high energy physics experiments. Our results show that the choice of scheduling and data replication strategies can have a large e...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
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...
In large-scale Grids, the replication of files to different sites is an important data management me...
In large-scale Grids, the replication of files to different sites is an important data management me...
As the computational and data handling requirements of large scientific collaborations grow, Grid co...
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...
Computational Grids normally deal with large computationally intensive problems on small data sets. ...
Grid computing is emerging as a new paradigm for solving large-scale problems and is becoming an est...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...
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...
In large-scale Grids, the replication of files to different sites is an important data management me...
In large-scale Grids, the replication of files to different sites is an important data management me...
As the computational and data handling requirements of large scientific collaborations grow, Grid co...
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...
Computational Grids normally deal with large computationally intensive problems on small data sets. ...
Grid computing is emerging as a new paradigm for solving large-scale problems and is becoming an est...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and...
Optimising the use of Grid resources is critical for users to effectively exploit a Data Grid. Data ...
In data grids huge amount of data are generated and processed by users around the world. Objective o...
Grid computing has emerged as the next-generation parallel and distributed computing that aggregates...