NDLI: On Node Isolation Under Churn in Unstructured P2P Networks with Heavy-Tailed Lifetimes

Content Provider	IEEE Xplore Digital Library
Author	Zhongmei Yao Xiaoming Wang Leonard, D. Loguinov, D.
Copyright Year	2007
Description	Author affiliation: Texas A&M Univ., College Station (Zhongmei Yao; Xiaoming Wang; Leonard, D.; Loguinov, D.)
Abstract	Previous analytical studies [12], [18] of unstructured P2P resilience have assumed exponential user lifetimes and only considered age-independent neighbor replacement. In this paper, we overcome these limitations by introducing a general node-isolation model for heavy-tailed user lifetimes and arbitrary neighbor-selection algorithms. Using this model, we analyze two age-biased neighbor-selection strategies and show that they significantly improve the residual lifetimes of chosen users, which dramatically reduces the probability of user isolation and graph partitioning compared to uniform selection of neighbors. In fact, the second strategy based on random walks on age-weighted graphs demonstrates that for lifetimes with infinite variance, the system monotonically increases its resilience as its age and size grow. Specifically, we show that the probability of isolation converges to zero as these two metrics tend to infinity. We finish the paper with simulations in finite-size graphs that demonstrate the effect of this result in practice.
Starting Page	2126
Ending Page	2134
File Size	271803
Page Count	9
File Format	PDF
ISBN	1424410479
ISSN	0743166X
DOI	10.1109/INFCOM.2007.246
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Resilience Peer to peer computing Computational modeling Communications Society Computer science USA Councils Partitioning algorithms H infinity control Event detection Delay effects
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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