Abstract | ||
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We present Slurpie: a peer-to-peer protocol for bulk data transfer. Slurpie is specifically designed to reduce client download times for large, popular files, and to reduce load on servers that serve these files. Slurpie employs a novel adaptive downloading strategy to increase client performance, and employs a randomized backoff strategy to precisely control load on the server. We describe a full implementation of the Slurpie protocol, and present results from both controlled local- area and wide-area testbeds. Our results show that Slurpie clients improve performance as the size of the network increases, and the server is completely insulated from large flash crowds entering the Slurpie network. I. INTRODUCTION |
Year | DOI | Venue |
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2004 | 10.1109/INFCOM.2004.1356981 | INFOCOM |
Keywords | Field | DocType |
client-server systems,peer-to-peer computing,transport protocols,Slurpie clients,Slurpie network,Slurpie protocol,adaptive downloading strategy,cooperative bulk data,data transfer protocol,peer-to-peer protocol | Crowds,Data transmission,Computer science,Upload,Server,Dead Peer Detection,Peer to peer computing,Download,Computer network,Distributed computing,Client–server model | Conference |
Volume | ISSN | Citations |
2 | 0743-166X | 87 |
PageRank | References | Authors |
19.13 | 19 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rob Sherwood | 1 | 1462 | 128.08 |
Braud, R. | 2 | 87 | 19.13 |
Bobby Bhattacharjee | 3 | 3991 | 257.36 |