Future Generation Computer Systems - Special issue on metacomputing
The SDSC storage resource broker
CASCON '98 Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
A Simple Mass Storage System for the SRB Data Grid
MSS '03 Proceedings of the 20 th IEEE/11 th NASA Goddard Conference on Mass Storage Systems and Technologies (MSS'03)
Grid Datafarm Architecture for Petascale Data Intensive Computing
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Enabling the Co-Allocation of Grid Data Transfers
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Downloading Replicated, Wide-Area Files - A Framework and Empirical Evaluation
NCA '04 Proceedings of the Network Computing and Applications, Third IEEE International Symposium
Parallel and Distributed Astronomical Data Analysis on Grid Datafarm
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
The Livny and Plank-Beck Problems: Studies in Data Movement on the Computational Grid
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
NFSv4 replication for grid storage middleware
Proceedings of the 4th international workshop on Middleware for grid computing
Production Storage Resource Broker Data Grids
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Complete and fragmented replica selection and retrieval in Data Grids
Future Generation Computer Systems
Efficient reuse of replicated parallel data segments in computational grids
Future Generation Computer Systems
A replicated file system for Grid computing
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing: Future Trends (MGC2006)
Replica selection on co-allocation data grids
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
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This paper presents a data sharing system called On-Demand data Co-Allocation (ODCA). ODCA integrates the advantages of the co-allocation concepts with the conventional on-demand data access scheme. It transfers the necessary file fragments from multiple data sources only when the application demands, thereby reducing data transmission time, wasted network bandwidth and required storage space. Moreover, it facilitates legacy applications to transparently access distributed grid data by using the native I/O system calls. The experimental results indicate that ODCA achieves superior performance in the turnaround time of data-intensive applications than the pre-staging and the on-demand access schemes.