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SASO
2015
IEEE

Peer Matcher: Decentralized Partnership Formation

3 years 1 months ago
Peer Matcher: Decentralized Partnership Formation
Abstract—This paper presents PeerMatcher, a fully decentralized algorithm solving the k-clique matching problem. The aim of k-clique matching is to cluster a set of nodes having pairwise weights into k-size groups of maximal total weight. Since solving the problem requires exponential time, PeerMatcher employs a novel set of heuristics that aim at converging to the optimal grouping while keeping the associated time and computational complexity low. A key feature is the use of peerto-peer communication. An extensive evaluation of PeerMatcher demonstrates its accuracy, efficiency, and scalability.
Nicolae Vladimir Bozdog, Spyros Voulgaris, Henri E
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where SASO
Authors Nicolae Vladimir Bozdog, Spyros Voulgaris, Henri E. Bal, Aart van Halteren
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