Unifying Models of Churn and Resilience for Unstructured P2P Graphs
Document Type
Article
Publication Date
9-2014
Publication Source
IEEE Transactions on Parallel and Distributed Systems
Abstract
Previous analytical results on the resilience of unstructured P2P systems have not explicitly modeled heterogeneity of user churn (i.e, difference in online behavior) or the impact of in-degree on system resilience. To overcome these limitations, we introduce a unifying model of heterogeneous user churn and derive the distribution of the various metrics observed in prior experimental studies. We also show that the arrival process of in-edges to each user converges to Poisson when system size tends to infinity, model transient behavior of in-degree, and apply these results to obtain the joint in/out-degree isolation probability.
Inclusive pages
2475 - 2485
ISBN/ISSN
1045-9219
Copyright
Copyright © 2014, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publisher
Institute of Electrical and Electronics Engineers
Volume
25
Peer Reviewed
yes
Issue
9
eCommons Citation
Yao, Zhongmei; Cline, Daren B. H.; Wang, Xiaoming; and Loguinov, Dmitri, "Unifying Models of Churn and Resilience for Unstructured P2P Graphs" (2014). Computer Science Faculty Publications. 165.
https://ecommons.udayton.edu/cps_fac_pub/165
COinS
Comments
Permission documentation on file.