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Conference Paper: A new analytical framework for studying protocol diversity in P2P networks

TitleA new analytical framework for studying protocol diversity in P2P networks
Authors
KeywordsAlgorithms design
Distributed systems
P2P networks
Population coevolution
Node rationality
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
The 2013 IEEE International Conference on Communications (ICC 2013), Budapest, Hungary, 9-13 June 2013. In IEEE International Conference on Communications, 2013, p. 2293-2297 How to Cite?
AbstractThanks to years of research and development, current peer-to-peer (P2P) networks are anything but a homogeneous system from a protocol perspective. Specifically, even for the same P2P system (e.g., BitTorrent), a large number of protocol variants have been designed based on game theoretic considerations with the objective to gain performance advantages. We envision that such variants could be deployed by selfish participants and interact with the original prescribed protocol as well as among them. Consequently, a meta-strategic situation - judiciously selection of different protocol variants - will emerge. In this work, we propose a general framework, Migration, based on evolutionary game theory to study the coevolution of peers for selfish protocol selection, and, most importantly, its impact on system performance. We apply Migration to P2P systems and draw on extensive simulations to characterize the dynamics of selfish protocol selection. The revealed evolution patterns shed light on both theoretical study and practical system design. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/189862
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorJin, Xen_US
dc.contributor.authorDeng, Jen_US
dc.contributor.authorKwok, YK-
dc.date.accessioned2013-09-17T15:00:58Z-
dc.date.available2013-09-17T15:00:58Z-
dc.date.issued2013en_US
dc.identifier.citationThe 2013 IEEE International Conference on Communications (ICC 2013), Budapest, Hungary, 9-13 June 2013. In IEEE International Conference on Communications, 2013, p. 2293-2297en_US
dc.identifier.isbn978-1-4673-3122-7-
dc.identifier.issn1550-3607-
dc.identifier.urihttp://hdl.handle.net/10722/189862-
dc.description.abstractThanks to years of research and development, current peer-to-peer (P2P) networks are anything but a homogeneous system from a protocol perspective. Specifically, even for the same P2P system (e.g., BitTorrent), a large number of protocol variants have been designed based on game theoretic considerations with the objective to gain performance advantages. We envision that such variants could be deployed by selfish participants and interact with the original prescribed protocol as well as among them. Consequently, a meta-strategic situation - judiciously selection of different protocol variants - will emerge. In this work, we propose a general framework, Migration, based on evolutionary game theory to study the coevolution of peers for selfish protocol selection, and, most importantly, its impact on system performance. We apply Migration to P2P systems and draw on extensive simulations to characterize the dynamics of selfish protocol selection. The revealed evolution patterns shed light on both theoretical study and practical system design. © 2013 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104-
dc.relation.ispartofIEEE International Conference on Communicationsen_US
dc.rightsIEEE International Conference on Communications. Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAlgorithms design-
dc.subjectDistributed systems-
dc.subjectP2P networks-
dc.subjectPopulation coevolution-
dc.subjectNode rationality-
dc.titleA new analytical framework for studying protocol diversity in P2P networksen_US
dc.typeConference_Paperen_US
dc.identifier.emailKwok, YK: ykwok@eee.hku.hken_US
dc.identifier.authorityKwok, YK=rp00128en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICC.2013.6654871-
dc.identifier.scopuseid_2-s2.0-84891363989-
dc.identifier.hkuros222983en_US
dc.identifier.spage2293-
dc.identifier.epage2297-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 140526-

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