Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TPDS.2013.163 | IEEE Trans. Parallel Distrib. Syst. |
Keywords | Field | DocType |
stochastic processes,joint in-out-degree isolation probability,system resilience,user churn heterogeneity,peer-to-peer systems,pareto,churn model,unstructured p2p systems,peer-to-peer,resilience model,peer-to-peer computing,stochastic lifetime resilience,in-degree transient behavior | Psychological resilience,Graph,Peer-to-peer,Arrival process,Computer science,Infinity,Fault tolerance,Poisson distribution,Pareto principle,Distributed computing | Journal |
Volume | Issue | ISSN |
25 | 9 | 1045-9219 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongmei Yao | 1 | 218 | 11.27 |
| Daren B. H. Cline | 2 | 16 | 5.02 |
| Xiaoming Wang | 3 | 4 | 0.74 |
| Dmitri Loguinov | 4 | 1298 | 91.08 |