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Conference Paper: A population dynamics model for data streaming over P2P networks

TitleA population dynamics model for data streaming over P2P networks
Authors
KeywordsSystem dynamics
Peer-to-peer
Markov queuing network
Data streaming
Issue Date2009
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000534
Citation
The 15th International Conference on Parallel and Distributed Systems (ICPADS '09), Shenzhen, Guangdong, China, 8-11 December 2009. In International Conference on Parallel and Distributed Systems Proceedings, 2009, p. 602-608 How to Cite?
AbstractData streaming (DS) over Peer-to-Peer (P2P) networks has been intensively studied in recent years and there have been various schemes proposed already. To evaluate these schemes, either measurement in experimental implementations, or simulation and theoretical analysis have been used. The former is inadequate as data are collected from different experiments, while the latter lacks a proper theoretical dynamics model. Our research aims at providing a general theoretical model to evaluate DS over P2P systems and analyze their dynamic behaviors. In this paper, with the analysis and abstraction of the characteristics of peers and their organization in DS over P2P, we propose a general population dynamics model for DS over P2P with fixed population. The model depicts the dynamic distribution of peers as a closed Markov queuing network. In particular, the model is scheme-independent and can be used with various schemes. Through theoretical analysis, we prove the model has equilibrium and only one closed-form solution. Besides, we verify the model through simulations, and show that it is a helpful analytical tool with a case study. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/99761
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Jen_HK
dc.contributor.authorYang, Gen_HK
dc.contributor.authorLi, VOKen_HK
dc.date.accessioned2010-09-25T18:43:10Z-
dc.date.available2010-09-25T18:43:10Z-
dc.date.issued2009en_HK
dc.identifier.citationThe 15th International Conference on Parallel and Distributed Systems (ICPADS '09), Shenzhen, Guangdong, China, 8-11 December 2009. In International Conference on Parallel and Distributed Systems Proceedings, 2009, p. 602-608en_HK
dc.identifier.issn1521-9097en_HK
dc.identifier.urihttp://hdl.handle.net/10722/99761-
dc.description.abstractData streaming (DS) over Peer-to-Peer (P2P) networks has been intensively studied in recent years and there have been various schemes proposed already. To evaluate these schemes, either measurement in experimental implementations, or simulation and theoretical analysis have been used. The former is inadequate as data are collected from different experiments, while the latter lacks a proper theoretical dynamics model. Our research aims at providing a general theoretical model to evaluate DS over P2P systems and analyze their dynamic behaviors. In this paper, with the analysis and abstraction of the characteristics of peers and their organization in DS over P2P, we propose a general population dynamics model for DS over P2P with fixed population. The model depicts the dynamic distribution of peers as a closed Markov queuing network. In particular, the model is scheme-independent and can be used with various schemes. Through theoretical analysis, we prove the model has equilibrium and only one closed-form solution. Besides, we verify the model through simulations, and show that it is a helpful analytical tool with a case study. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000534-
dc.relation.ispartofInternational Conference on Parallel and Distributed Systems Proceedingsen_HK
dc.rightsInternational Conference on Parallel and Distributed Systems. Proceedings. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©2009 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.subjectSystem dynamicsen_HK
dc.subjectPeer-to-peeren_HK
dc.subjectMarkov queuing networken_HK
dc.subjectData streamingen_HK
dc.titleA population dynamics model for data streaming over P2P networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailXu, J: jlxu@eee.hku.hken_HK
dc.identifier.emailYang, G: ghyang@eee.hku.hken_HK
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityYang, G=rp00200en_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICPADS.2009.56en_HK
dc.identifier.scopuseid_2-s2.0-77949592606en_HK
dc.identifier.hkuros165909en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77949592606&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage602en_HK
dc.identifier.epage608en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK
dc.identifier.scopusauthoridYang, GH=35119861400en_HK
dc.identifier.scopusauthoridXu, J=26668149800en_HK
dc.customcontrol.immutablesml 140801-

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