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UBCA: A Utility Based Clustering Architecture For Peer-to-peer Networks

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UBCA: A Utility Based Clustering Architecture For Peer-to-peer Networks

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dc.contributor.author Lagesse, Brent en_US
dc.date.accessioned 2007-08-23T01:56:44Z
dc.date.available 2007-08-23T01:56:44Z
dc.date.issued 2007-08-23T01:56:44Z
dc.date.submitted May 2006 en_US
dc.identifier.other DISS-1284 en_US
dc.identifier.uri http://hdl.handle.net/10106/435
dc.description.abstract Use of the Peer-to-Peer (P2P) architecture has recently spread in popularity. File sharing and ad hoc networks have contributed to the architecture's usage. P2P generates new challenges in scalability, fairness, and quality of service. Current solutions tend to fall into two main areas: incentives and system design. Incentive-based approaches appeal to the self-interested nature of peers by requiring service to the system in order to access resources. System design includes distributed hash tables and graph-theoretical based designs which have seen some success, but also result in new problems. We introduce a Utility-Based Clustering Architecture, UBCA, designed to address scalability, fairness, quality of service, and load distribution through the use of implicit incentives. The UBCA runs on peers and clusters during the execution based on mutual utility gained as a result of the grouping. Simulation of the UBCA shows improved bandwidth and latency per access and reduced overhead costs. en_US
dc.description.sponsorship Kumar, Mohan en_US
dc.language.iso EN en_US
dc.publisher Computer Science & Engineering en_US
dc.title UBCA: A Utility Based Clustering Architecture For Peer-to-peer Networks en_US
dc.type M.S. en_US
dc.contributor.committeeChair Kumar, Mohan en_US
dc.degree.department Computer Science & Engineering en_US
dc.degree.discipline Computer Science & Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US
dc.identifier.externalLink https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=194
dc.identifier.externalLinkDescription Link to Research Profiles

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