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Theoretical Computer Science
Volume 333, Issue 3, 3 March 2005, Pages 415-432
Structural Information and Communication Complexity
 
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doi:10.1016/j.tcs.2004.12.008    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Interval routing in reliability networksstar, open

Cyril Gavoillea, Corresponding Author Contact Information, E-mail The Corresponding Author and Martin Nehézb, 1, E-mail The Corresponding Author

aLaboratoire Bordelais de Recherche en Informatique, Université Bordeaux I, 351, cours de la Liberation, Talence Cedex 33405, France bFaculty of Informatics and Information Technologies, Slovak University of Technology, Ilkovičova 3, 842 16 Bratislava

Received 8 September 2003; 
revised 8 April 2004. 
Available online 6 January 2005.

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Abstract

In this paper, we consider routing with compact tables in reliability networks. More precisely, we study interval routing on random graphs View the MathML source obtained from a base graph B by independently removing each edge with a failure probability 1-p. We focus on additive stretched routing for n-node random graphs for which the base B is a square mesh and p=0.5, that is the percolation model at the critical phase. We show a lower bound of View the MathML source on the number of intervals required per edge for every additive stretch δgreater-or-equal, slanted0. On the other side, our experimental results show that the size of the largest biconnected components is Θ(n0.827), and thus that there exists a trivial shortest-path routing scheme using at most O(n0.827) intervals per edge.

The results are extended to random meshes of higher dimension. We show that, asymptotically almost surely, the number of intervals per edge for a random r-dimensional mesh with n nodes is View the MathML source, for every additive stretch δgreater-or-equal, slanted0 and for every integral dimension View the MathML source.

Keywords: Compact routing tables; Reliability networks; Random graphs; Interval routing; Percolation theory


Theoretical Computer Science
Volume 333, Issue 3, 3 March 2005, Pages 415-432
Structural Information and Communication Complexity
 
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