Title
An Autonomous Distributed Control Method for Link Failure Based on Tie-Set Graph Theory
Abstract
This study proposes an autonomous distributed control method for single link failure based on loops in a network. This method focuses on the concept of tie-sets defined by graph theory in order to divide a network into a string of logical loops. A tie-set denotes a set of links that constitutes a loop. Based on theoretical rationale of graph theory, a string of tie-sets that cover all the nodes and links can be created by using a tree, even in an intricately-intertwined mesh network. If tie-sets are used as local management units, high-speed and stable fail-over can be realized by taking full advantage of ring-based restoration. This paper first introduces the notion of tie-sets, and then describes the distributed algorithms for link failure. Experiments are conducted against Rapid Spanning Tree Protocol (RSTP), which is generally used for fault recovery in mesh topological networks. Experimental results comparing the proposed method with RSTP suggest that our method alleviates the adverse effects of link failure with a modest increase in state information of a node.
Year
DOI
Venue
2012
10.1109/TCSI.2012.2196109
Circuits and Systems I: Regular Papers, IEEE Transactions
Keywords
Field
DocType
Internet,computer network management,computer network reliability,distributed algorithms,distributed control,fault tolerant computing,telecommunication control,telecommunication network topology,trees (mathematics),RSTP,autonomous distributed control method,distributed algorithm,fault recovery,intricately-intertwined mesh network,local management unit,mesh topological network,rapid spanning tree protocol,ring-based restoration,single link failure,tie-set graph theory,Distributed control,fault tolerance,graph theory,link failure,loop,tie-set
Graph theory,Mesh networking,State information,Computer science,Network topology,Distributed algorithm,Distributed concurrency control,The Internet,Distributed computing,Spanning Tree Protocol
Journal
Volume
Issue
ISSN
59
11
1549-8328
Citations 
PageRank 
References 
7
0.91
8
Authors
3
Name
Order
Citations
PageRank
Kiyoshi Nakayama1277.51
Norihiko Shinomiya25019.15
Hitoshi Watanabe3244.87