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Eliminating replica selection - using multiple replicas to accelerate data transfer on grids

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2 Author(s)
Jun Feng ; Dept. of Comput. Sci., Virginia Univ., USA ; Humphrey, M.

Data-intensive, high-performance computing applications often require the efficient transfer of terabytes or even petabytes of data in wide-area, distributed computing environments. To increase the efficiency of wide area data movement, researchers have devised various techniques such as TCP tuning, multiple streams and asynchronous I/O. This paper adopts an approach to increase performance further by exploiting replica-level parallelism in grids. rFTP, a grid data transferring tool, improves the data transfer rate and reliability on grids by utilizing multiple replica sources concurrently. Experiments on the NPACI grid show as much as a 2.02× speedup over a single data source by adaptively retrieving partial data segments from 4 replicas using the data provided by NWS.

Published in:

Parallel and Distributed Systems, 2004. ICPADS 2004. Proceedings. Tenth International Conference on

Date of Conference:

7-9 July 2004