Unstructured P2P Link Lifetimes Redux Academic Article

abstract

• 2014 IEEE. We revisit link lifetimes in random P2P graphs under dynamic node failure and create a unifying stochastic model that generalizes the majority of previous efforts in this direction. We not only allow nonexponential user lifetimes and age-dependent neighbor selection, but also cover both active and passive neighbor-management strategies, model the lifetimes of incoming and outgoing links, derive churn-related message volume of the system, and obtain the distribution of transient in/out degree at each user. We then discuss the impact of design parameters on overhead and resilience of the network.

authors

• Cline, Daren
• Loguinov, Dmitri

published proceedings

• IEEE-ACM TRANSACTIONS ON NETWORKING

author list (cited authors)

• Yao, Z., Cline, D., & Loguinov, D.

citation count

• 1

complete list of authors

• Yao, Zhongmei||Cline, Daren BH||Loguinov, Dmitri

publication date

• June 2015

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE ACM Transactions on Networking  Journal

keywords

• In-degree
• Stochastic Modeling
• User Churn

Digital Object Identifier (DOI)

• 10.1109/TNET.2014.2306153

start page

• 755

end page

• 767

volume

• 23

issue

• 3

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Ftnet.2014.2306153