Recently, a special type of Markov model called parametric state reward Mar
kov model (SRMM/p) [H.C. Cankaya, V.S.S. Nair, in: IEEE Proceedings of GLOB
ECOM 97, vol. i,IEEE Computer Sec. Press, Silver Spring, MD, 1997, pp. 252-
256] and a set of survivability metrics comprising reliability, availabilit
y, and restorability have been proposed for the evaluation of self-healing
SONET mesh networks [H.C. Cankaya, V.S.S, Nair, in: Proceedings of ISCIS 'X
II, vol. i, Bogazici University, Bogazici University Press, 1997, pp. 269-2
76]. The SRMM/p, accommodates multiple consecutive link failures and uses t
opology-free approximation in order to calculate the average performance lo
ss due to a failure. The SRMM/p is equally applicable to the analysis of se
lf-healing SONET rings by considering a ring as a special case of a mesh to
pology [H.C. Cankaya, V.S.S. Nair, in: IEEE Proceedings of GLBBECOM '98, vo
l. 4, IEEE Computer Sec. Press, Silver Spring, MD, 1998, pp. 2276-2281]. Fu
rther, the topological uniformity and simplicity of rings allow one to incl
ude more detailed features of the network in the model so that the analysis
will be more accurate. For this purpose, we propose an improved approach t
o the survivability analysis of self-healing SONET rings which employs a pr
obability-tree based evaluation of the probability of various system states
resulting from all possible combinations of node and link failures. The co
rresponding tree-construction and traversal algorithms are presented. Survi
vability of rings with distinctive demand patterns are studied with the imp
roved analysis and compared experimentally. One limitation to the model is
the high run-time complexity caused mainly by the disparity between transit
ion rates amongst various states in the SRMM/p [H.C. Cankaya, V.S.S. Nair,
ACM Comput. Commun. Rev. 28 (4) (1998) 268-277]. In this paper, we also pre
sent an approach to circumvent this problem by state aggregation method and
compare the results in terms of runtime complexity and accuracy by conduct
ing an experimental study. (C) 1999 Elsevier Science B.V. All rights reserv
ed.