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Proceedings Paper

Sampling cluster endurance for peer-to-peer based content distribution networks
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Paper Abstract

Several types of Content Distribution Networks are being deployed over the Internet today, based on different architectures to meet their requirements (e.g., scalability, efficiency and resiliency). Peer-to-Peer (P2P) based Content Distribution Networks are promising approaches that have several advantages. Structured P2P networks, for instance, take a proactive approach and provide efficient routing mechanisms. Nevertheless, their maintenance can increase considerably in highly dynamic P2P environments. In order to address this issue, a two-tier architecture that combines a structured overlay network with a clustering mechanism is suggested in a hybrid scheme. In this paper, we examine several sampling algorithms utilized in the aforementioned hybrid network that collect local information in order to apply a selective join procedure. The algorithms are based mostly on random walks inside the overlay network. The aim of the selective join procedure is to provide a well balanced and stable overlay infrastructure that can easily overcome the unreliable behavior of the autonomous peers that constitute the network. The sampling algorithms are evaluated using simulation experiments where several properties related to the graph structure are revealed.

Paper Details

Date Published: 16 January 2006
PDF: 14 pages
Proc. SPIE 6071, Multimedia Computing and Networking 2006, 60710N (16 January 2006); doi: 10.1117/12.646037
Show Author Affiliations
Vasilios Darlagiannis, Technische Univ. Darmstadt (Germany)
Andreas Mauthe, Lancaster Univ. (United Kingdom)
Ralf Steinmetz, Technische Univ. Darmstadt (Germany)

Published in SPIE Proceedings Vol. 6071:
Multimedia Computing and Networking 2006
Surendar Chandra; Carsten Griwodz, Editor(s)

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