Title
Networks of random cycles
Abstract
We present a family of peer-to-peer network protocols that yield regular graph topologies having known Hamilton cycles. These topologies are equivalent, in a well-defined sense, to the random regular graph. As a consequence, we have connectivity deterministically, and logarithmic diameter and expansion properties with high probability. We study the efficacy of certain simple topology-altering operations, designed to introduce randomness. These operations enable the network to self-stabilise when damaged. They resemble the operations used by Cooper, Dyer and Greenhill (2007) for a similar purpose in the case of random regular graphs. There is a link between our protocols and certain combinatorial structures which have been studied previously, in particular discordant permutations and Latin rectangles. We give the first rigorous polynomial mixing-time bounds for natural Markov chains that sample these objects at random. We do so by developing a novel extension to the canonical path technique for bounding mixing times: routing via a random destination. This resembles a technique used by Valiant (1982) for low-congestion routing in hypercubes.
Year
DOI
Venue
2011
10.5555/2133036.2133108
Symposium on Discrete Algorithms
Keywords
DocType
ISBN
canonical path technique,low-congestion routing,random regular graph,certain simple topology-altering operation,regular graph,hamilton cycle,peer-to-peer network protocol,certain combinatorial structure,random cycle,latin rectangle,random destination,markov chain,mixing time,randomized algorithms,distributed computing,leader election
Conference
978-1-61197-251-1
Citations 
PageRank 
References 
0
0.34
12
Authors
3
Name
Order
Citations
PageRank
Colin Cooper128730.73
Martin E. Dyer2529116.66
Andrew J. Handley3111.41