International Journal of Computer Network and Information Security(IJCNIS)

ISSN: 2074-9090 (Print), ISSN: 2074-9104 (Online)

Published By: MECS Press

IJCNIS Vol.6, No.9, Aug. 2014

Effect of Maintenance on Computer Network Reliability

Full Text (PDF, 395KB), PP.12-19

Views:308   Downloads:7


Rima Oudjedi Damerdji, Myriam Noureddine

Index Terms

Reliability, computer network, models of reliability, Maintenance, Alert delay model


At the time of the new information technologies, computer networks are inescapable in any large organization, where they are organized so as to form powerful internal means of communication. In a context of dependability, the reliability parameter proves to be fundamental to evaluate the performances of such systems. In this paper, we study the reliability evaluation of a real computer network, through three reliability models. The computer network considered (set of PCs and server interconnected) is localized in a company established in the west of Algeria and dedicated to the production of ammonia and fertilizers. The result permits to compare between the three models to determine the most appropriate reliability model to the studied network, and thus, contribute to improving the quality of the network. In order to anticipate system failures as well as improve the reliability and availability of the latter, we must put in place a policy of adequate and effective maintenance based on a new model of the most common competing risks in maintenance, Alert-Delay model. At the end, dependability measures such as MTBF and reliability are calculated to assess the effectiveness of maintenance strategies and thus, validate the alert delay model.

Cite This Paper

Rima Oudjedi Damerdji, Myriam Noureddine,"Effect of Maintenance on Computer Network Reliability", IJCNIS, vol.6, no.9, pp.12-19, 2014. DOI: 10.5815/ijcnis.2014.09.02


[1]A. Avižienis, J.C. Laprie and B. Randell, “Fundamental Concepts of Dependability” In Proc. of the 3rd IEEE In-formation Survivability Workshop (ISW-2000), USA, pp. 7-12, October 24-26, 2000.

[2]G. Zwingelstein, “Sûreté de fonctionnement des systèmes industriels complexes,” Techniques de l’Ingénieur, S825v2 / S8251, 2009.

[3]A. Birolini, “Reliability Engineering: Theory and Practice”, Springer-Verlag, Sixth Edition, Berlin, 2010.

[4]K. Kołowrocki, Reliability of Large Multi-State Exponen-tial Systems , Reliaility of Large and Complex Systems (Second Edition), pp. 221–248, 2014, ISBN: 978-0-08-099949-4.

[5]K. Das, A comparative study of exponential distribution vs Weibull distribution in machine reliability analysis in a CMS design, Original Research Computers & Industrial Engineering, Vol.54, Issue 1, pp. 12-33, February 2008.

[6]B. Kwiatuszewska-Sarnecka, Reliability Improvement of Large Multi-state Series-parallel Systems, International Journal of Automation and Computing 2, pp. 57-164, 2006.

[7]M. Krit, A. Rebai, Modeling of the effect of corrective and preventive maintenance with bathtub failure intensity, International Journal of Technology, Vol. 2, pp. 157-166, ISSN 2086-9614,2013.

[8]E. Remy, F. Corset, S. Despéraux,L. Doyen,O. Gaudoin, An exemple of intgrated approach to technical and eco-nomic optimization of maintenance, Reliability Enigineering and System Safety, Vol. 116, pp. 8-19, 2013.

[9]R.M. Cooke, T. Bedford, and B.H. Lindqvist, Reliability databases in perspective, IEEE Transactions on Reliability, Vol. 51, no. 3, pp. 294-310, 2002.

[10]C. Bunea, T. Bedford, The Effect of Model Uncertainty on Maintenance Optimization, IEEE Transactions on Re-liability, Vol. 51, no. 4, pp. 486- 493, 2002.

[11]Wayn Nelson, J.Wiley and Sons, “Applied life Data Analysis”, Wiley Series in Probability and Statistics, Feb-ruary 2005.

[12]M.Bebbington, C.Lai, and R.Zitikis, “Modeling human mortality using mixtures of bathtub shaped failure distri-butions”, Journal of Theroretical Biology, Vol.245, pp.528-538, 2007.

[13]R.Tahir, N.Saaidia, “A Modified Chi-squared Goodness-of-Fit Test for the Birnbaum-Saunders Distribution”, 44th journée de Statistique, 2012.

[14]M.S.Nikulin, X.Q.Tran, “Chi-squared goodness of fit test for generalized birnbaum-saunders models for right cen-sored data and its reliability applications”, Bordeaux Uni-versity, IMB, France, Vol.8, June 2013.

[15]G. M. Cordeiro, A. J. Lemonte, “The β-Birnbaum–Saunders distribution: An improved distribution for fatigue life modeling”, Computational Statistics & Data Analysis, Vol.55, Issue 3, pp. 1445-1461, March 2011.

[16]ReliaSoft's Reliability Publications, Chi-Squared Distribu-tion and Reliability Demonstration Test Design, Reliability HotWire eMagazine, Issue 116, April 2010.

[17]A. G. Mihalache,” Modélisation et évaluation de la fiabilité des systèmes mécatroniques: Application sur système embarque”, Doctoral thesis in Engineering Sciences, Uni-versity of Angers, December 2007.

[18]Jitendra Singh, Rabins Porwal, S.P.Singh,"Performance Measures of Tele- Protection System Based on Networked Microwave Radio Link", IJCNIS, Vol.6, no.5, pp.21-28, 2014. DOI: 10.5815/ijcnis.2014.05.03.

[19]ReliaSoft's Reliability Publications, Characteristics of the Weibull Distribution, Reliability HotWire eMagazine, Issue 14, April 2002.

[20]J. Marshall, “An Introduction to Reliability and Life Distributions”, Product Excellence using 6 Sigma Module, Reliability and Life distributions, 2012.

[21]H. Pham, “System Reliability Concepts”, System Software Reliability, Springer Series in reliability engineering, pp 9-75, 2007.

[22]F.P.A. Coolen, “Parametric probability distributions in reliability”, Encyclopedia of Quantitative Risk Analysis and Assessment, 2008.

[23]V.Pappas, K.Adamidis and S. Loukas, “A Family of Lifetime Distributions”, International Journal of Quality, Statistics, and Reliability, Vol. 2012, Article ID 760687, 2012.

[24]G.A.Klutke,P.C.Kiessler and M.A.Wortman, “Critical Look at the bathtub curve”, IEEE Transactions on reliability, the good functioning of the system, Vol. 52, March 2003.

[25]MicroTik, “The Dude, Network monitor tool”,, 2012.

[26]R. Oudjedi Damerdji, A. Djama and M. Noureddine, “Etude et choix des lois de fiabilité”, Master Project, De-partment of Computer Science, University of Sciences and Technology, Oran, Algeria, June 2011.

[27]S. Speaks, “Reliability and MTBF Overview”, Vicor Reliability Engineering, 2004.

[28]E.H. Jamaluddin, K. Kairgama, M.M. Noor and M.M. Rahman, “Method of predicting, estimating and improving mean time between failures in reducing reactive work in maintenance organization”, National Conference on Postgraduate Research (NCON-PGR),UMP conference Hall, Malaysia, 2004.

[29]MathWave Technologies, “EasyFit: Distribution Fitting Software”,, 2011.

[30]F.Mazerolle, “Statistique descriptive”, Course Notes, University Paul Cézanne of Marseille, France, March, 2009.

[31]Y. Dijoux, O. Gaudoin, “The alert-delay competing risks model for maintenance analysis”, journal of statisical planning and inference, vol. 139(5), pp. 1587-1603, 2009.

[32]R. Oudjedi Damerdji, M. Noureddine, “Modèle à risques concurrents pour la maintenance: Étude et application”, In CD-Proceedings of International Conference on engineer-ing of Industrial Safety and Environment, ICISE'14, ID-paper 94, Oran (Algeria), January 26-27th, 2014.