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Developing Analytical Framework to Measure Robustness of Peer-to-Peer Networks
Author(s) -
Bivas Mitra,
Md. Moin Afaque,
Sujoy Ghose,
Niloy Ganguly
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-68139-6
DOI - 10.1007/11947950_28
Subject(s) - computer science , overlay network , overlay , robustness (evolution) , network topology , distributed computing , peer to peer , computer network , dynamic network analysis , topology (electrical circuits) , theoretical computer science , the internet , world wide web , biochemistry , chemistry , mathematics , combinatorics , gene , programming language
In peer-to-peer (p2p) networks, peer nodes communicate with each other with the help of overlay structure. As the peers in the p2p system join and leave the network randomly, it makes the overlay network dynamic and unstable in nature. In this paper, we propose an analytical framework to assess the robustness of different topologies adopted by these overlay structures, to withstand the random movement of peers in the networks. We model the dynamic behavior of the peers through degree independent as well as degree dependent node failure. Recently superpeer networks are becoming the most widely used topology among the p2p networks [8]. Therefore we perform the stability analysis of superpeer networks as a case study. We validate the analytically derived results with the help of simulation.

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