 |
 |
Accelerated
Reliability Analysis for Self-Healing SONET Networks
Hakki C. Cankaya and V. S. S. Nair (SMU)
Recently, a parametric State Reward Markov Model (SRMM/p) has been
developed for the reliability and availability analysis of
self-healing SONET mesh networks [2]. In this paper, we investigate
the factors that affect the run-time complexity of the model presented
in [2]. In order to accelerate the reliability and availability
analysis, we present an approach that aggregates a set of states in
the model based on 2-phase hypoexponential distribution. A comparison
of the original and the reduced model, with respect to run-time
complexity and accuracy, is carried out by applying the models for the
analysis of few complex networks.
[2] Cankaya, H. C., and Nair, V. S. S. Reliability and
availability evaluation of self-healing SONET mesh net-
works. In IEEE Proceedings of GLOBECOM'97 (1997),
vol. 1, IEEE Com. Soc., pp. 252-256.
The slides from the presentation are available here in
Postscript or
Adobe Portable Document Format (PDF)
ACM Copyright Notice: Copyright (c) 1998 by Association
for Computing Machinery, Inc. (ACM) Permission to make digital or
hard copies of all or part of this work for personal or classroom use
is granted without fee provided that the copies are not made or
distributed for profit or commercial advantage and that the copies
bear this notice and full citation on the first page. Copyright for
components of this work owned by others than ACM must be
honored. Abstracting with credit is permitted. To copy otherwise, to
republish, to post on servers, or to redistribute to lists, requires
prior specific permission and/or a fee. Request permission to publish
from: Publications Dept. ACM, Inc. Fax +1 212 869 0481 or email
<permissions@acm.org>.
The referenced paper is in Computer Communication
Review, a publication of ACM SIGCOMM, volume 28, number 4, October
1998. ISSN # 0146-4833.
This electronic facsimile may differ slighty from the printed
version. It has may have been reformated to better support electronic
viewing. Therefore, please use the printed version when referencing
layout details, such as page numbers.
This paper is available in
Postscript and
Adobe Portable Document Format (PDF)
Get Microsoft Powerpoint Viewer,
 Ghostview
|
