Simulation of Dynamic Grid Replication Strategies in OptorSim
GRID '02 Proceedings of the Third International Workshop on Grid Computing
Evaluation of Job-Scheduling Strategies for Grid Computing
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
A grid service broker for scheduling distributed data-oriented applications on global grids
MGC '04 Proceedings of the 2nd workshop on Middleware for grid computing
ShanghaiGrid: a grid prototype for metropolis information services
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Managing Network-Aware Grid Services on Metropolitan Scale: The SCoPE Experience
IPOM '09 Proceedings of the 9th IEEE International Workshop on IP Operations and Management
Towards a federated Metropolitan Area Grid environment: The SCoPE network-aware infrastructure
Future Generation Computer Systems
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Metropolitan-Area Grid (MAG) normally deals with a more limited computation and data-intensive problems on geographically distributed and smaller range resources. Therefore, in a MAG, resource scheduling is distinguished from other Grid. Current research on performance evaluation of resource scheduling in MAG is based on simulation techniques, which can only consider a limited range of scenarios. In this paper, we propose a centralized resource scheduling model in a MAG and give a formal framework via Stochastic Process Algebras (SPA) to deal with this problem. Within this framework, we model and analyze the performance of resource scheduling, allowing for a wide variety of job and data scheduling algorithms. Moreover, we can evaluate the combined effectiveness of job and data scheduling algorithms, rather than study them separately.