GridTorrent framework: A High-performance data transfer and data sharing framework for scientific computing

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dc.contributor.author Kaplan, Ali
dc.contributor.author Geoffrey, Fox
dc.contributor.author von Laszewski, Gregor
dc.date.accessioned 2009-05-27T15:36:31Z
dc.date.available 2009-05-27T15:36:31Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/1850/9682
dc.description "GridTorrent framework: A High-performance data transfer and data sharing framework for scientific computing," Proceedings of the Grid Computing Environments (GCE) workshop. Held at the Reno Convention Center: Reno, Nevada: 11-12 November 2007. en_US
dc.description.abstract Large amount of data that is often stored in many thousands of files is created as part of today’s geographically distributed scientific computation and collaboration environments. Managing and transferring large volumes of data sets present a significant challenge and are often a bottleneck in the scientific computing community. In this paper, we introduce an architecture to manage data distributions in a collaborative fashion through a GridTorrent Framework (GTF) whose data transfer mechanism inspired by Bittorrent. We present performance experiment data that compares our framework to parallel TCP (PTCP) and Bittorrent. Experimental results conducted suggest that using GridTorrent for large data set has significant advantages over parallel TCP in LAN and WAN type of computer networks.
dc.language.iso en_US
dc.publisher Grid Computing Environments (GCE)
dc.subject Bittorrent en_US
dc.subject Collaboration en_US
dc.subject Data transfer en_US
dc.subject Grid en_US
dc.title GridTorrent framework: A High-performance data transfer and data sharing framework for scientific computing
dc.type Article

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