On Zipf Models for Probabilistic Piece Selection in P2P Stored Media Streaming
2013 (English)In: IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS), 2013, IEEE , 2013, 161-171 p.Conference paper (Refereed)
The Zipf distribution is widely used to model Web site popularity, video popularity, and file referencing behavior. In recent published work, we proposed and evaluated a Zipf-based policy for probabilistic piece selection in Peer-to-Peer (P2P) media streaming. In this current paper, we revisit this Zipf model in more detail, and identify two fundamentally different modeling approaches, namely regenerative versus degenerative Zipf models. We illustrate the differences between the two models, provide refined analytical models for each, and validate the models with simulations in the context of P2P media streaming. The results show that the regenerative model is more appropriate for P2P streaming, because of its stronger sequential progress.
Place, publisher, year, edition, pages
IEEE , 2013. 161-171 p.
, IEEE MASCOTS 2013, ISSN 1526-7539
P2P streaming, Zipf, modeling, piece selection
IdentifiersURN: urn:nbn:se:liu:diva-108503DOI: 10.1109/MASCOTS.2013.24OAI: oai:DiVA.org:liu-108503DiVA: diva2:730593
IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2013), 14-16 August 2013, San Francisco, CA, USA