Factorization and exact evaluation of the source‐terminal diameter‐constrained reliability

In classical network reliability, the system under study is a network with perfect nodes and imperfect links that fail randomly and independently. The probability that a given subset K of terminal nodes belongs to the same connected component is called classical or K-Terminal reliability. Although (and because) the classical reliability computation belongs to the class of N P-Hard problems, the literature offers many methods for this purpose, given the importance of the models. This article deals with diameter-constrained reliability, where terminal nodes are further required to be connected by d hops or fewer (d is a given strictly positive parameter of the metric called its diameter). This metric was defined in 2001, inspired by delay-sensitive applications in telecommunications. Factorization theory is fundamental for the classical network reliability evaluation, and today it is a mature area. However, its extension to the diameter-constrained context requires at least the recognition of irrelevant links, which is an open problem. In this article, irrelevant links are efficiently determined in the most used case, where |K|=2, thus providing a first step toward a Factorization theory in diameter-constrained reliability. We also analyze the metric in series-parallel and composition graphs. The article closes with a Factoring algorithm and a discussion of trends for future work. © 2017 Wiley Periodicals, Inc. NETWORKS, 2017

[1]  Denis A. Migov,et al.  Methods of Speeding up of Diameter Constrained Network Reliability Calculation , 2015, ICCSA.

[2]  A. Rosenthal Computing the Reliability of Complex Networks , 1977 .

[3]  Kishor S. Trivedi,et al.  A survey of efficient reliability computation using disjoint products approach , 1995, Networks.

[4]  Eytan Adar,et al.  Free Riding on Gnutella , 2000, First Monday.

[5]  Eduardo Alberto Canale,et al.  Diameter constrained reliability: Complexity, distinguished topologies and asymptotic behavior , 2015, Networks.

[6]  Héctor Cancela,et al.  Polynomial-Time Topological Reductions That Preserve the Diameter Constrained Reliability of a Communication Network , 2011, IEEE Transactions on Reliability.

[7]  J. Scott Provan,et al.  The Complexity of Counting Cuts and of Computing the Probability that a Graph is Connected , 1983, SIAM J. Comput..

[8]  Robert E. Tarjan,et al.  A quick method for finding shortest pairs of disjoint paths , 1984, Networks.

[9]  Michael O. Ball,et al.  Computational Complexity of Network Reliability Analysis: An Overview , 1986, IEEE Transactions on Reliability.

[10]  Gerardo Rubino,et al.  On computing the 2-diameter -constrained K -reliability of networks , 2013, Int. Trans. Oper. Res..

[11]  Mark K. Chang,et al.  Network reliability and the factoring theorem , 1983, Networks.

[12]  J. W. Suurballe Disjoint paths in a network , 1974, Networks.

[13]  Wei Guo,et al.  Sliding scheduled lightpath provisioning by mixed partition coloring in WDM optical networks , 2013, Opt. Switch. Netw..

[14]  Pablo Romero,et al.  Full complexity analysis of the diameter-constrained reliability , 2015, Int. Trans. Oper. Res..

[15]  Héctor Cancela,et al.  Reliability of communication networks with delay constraints: computational complexity and complete topologies , 2004, Int. J. Math. Math. Sci..

[16]  D. Migov Computing diameter constrained reliability of a network with junction points , 2011 .