An Efficient Silent Self-stabilizing 1-Maximal Matching Algorithm Under Distributed Daemon Without Global Identifiers - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

An Efficient Silent Self-stabilizing 1-Maximal Matching Algorithm Under Distributed Daemon Without Global Identifiers

Abstract

We propose a new self-stabilizing 1-maximal matching algorithm that works under the distributed unfair daemon for arbitrarily shaped networks without cycle whose length is a multiple of three. The 1-maximal matching is a 2/3-approximation of a maximum matching, a significant improvement over the 1/2-approximation that is guaranteed by a maximal matching. Our algorithm is as efficient (its stabilization time is O(e) moves, where e denotes the number of edges in the network) as the best known algorithm operating under the weaker central daemon. It significantly outperforms the only known algorithm for the distributed daemon (with O(e) moves vs. O(2^n*δn) moves, where δ denotes the maximum degree of the network, and n its number of nodes), while retaining its silence property (after stabilization, its output remains fixed).
No file

Dates and versions

hal-01491823 , version 1 (17-03-2017)

Identifiers

Cite

Michiko Inoue, Fukuhito Ooshita, Sébastien Tixeuil. An Efficient Silent Self-stabilizing 1-Maximal Matching Algorithm Under Distributed Daemon Without Global Identifiers. International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2016), Nov 2016, Lyon, France. pp.195-212, ⟨10.1007/978-3-319-49259-9_17⟩. ⟨hal-01491823⟩
268 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More