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Conference Paper: A population dynamics model for data streaming over P2P networks
Title | A population dynamics model for data streaming over P2P networks |
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Authors | |
Keywords | System dynamics Peer-to-peer Markov queuing network Data streaming |
Issue Date | 2009 |
Publisher | Institute 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? |
Abstract | Data 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 Identifier | http://hdl.handle.net/10722/99761 |
ISSN | 2023 SCImago Journal Rankings: 0.397 |
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Xu, J | en_HK |
dc.contributor.author | Yang, G | en_HK |
dc.contributor.author | Li, VOK | en_HK |
dc.date.accessioned | 2010-09-25T18:43:10Z | - |
dc.date.available | 2010-09-25T18:43:10Z | - |
dc.date.issued | 2009 | en_HK |
dc.identifier.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 | en_HK |
dc.identifier.issn | 1521-9097 | en_HK |
dc.identifier.uri | http://hdl.handle.net/10722/99761 | - |
dc.description.abstract | Data 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.language | eng | en_HK |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000534 | - |
dc.relation.ispartof | International Conference on Parallel and Distributed Systems Proceedings | en_HK |
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.subject | System dynamics | en_HK |
dc.subject | Peer-to-peer | en_HK |
dc.subject | Markov queuing network | en_HK |
dc.subject | Data streaming | en_HK |
dc.title | A population dynamics model for data streaming over P2P networks | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Xu, J: jlxu@eee.hku.hk | en_HK |
dc.identifier.email | Yang, G: ghyang@eee.hku.hk | en_HK |
dc.identifier.email | Li, VOK: vli@eee.hku.hk | - |
dc.identifier.authority | Yang, G=rp00200 | en_HK |
dc.identifier.authority | Li, VOK=rp00150 | en_HK |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1109/ICPADS.2009.56 | en_HK |
dc.identifier.scopus | eid_2-s2.0-77949592606 | en_HK |
dc.identifier.hkuros | 165909 | en_HK |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-77949592606&selection=ref&src=s&origin=recordpage | en_HK |
dc.identifier.spage | 602 | en_HK |
dc.identifier.epage | 608 | en_HK |
dc.publisher.place | United States | en_HK |
dc.identifier.scopusauthorid | Li, VOK=7202621685 | en_HK |
dc.identifier.scopusauthorid | Yang, GH=35119861400 | en_HK |
dc.identifier.scopusauthorid | Xu, J=26668149800 | en_HK |
dc.customcontrol.immutable | sml 140801 | - |
dc.identifier.issnl | 1521-9097 | - |