Analysis of Computer Network Reliability and Criticality: Technique and Features

Abstract

The paper describes modern technologies of Computer Network Reliability. Software tool is developed to estimate of the CCN critical failure probability (construction of a criticality matrix) by results of the FME(C)A-technique. The internal information factors, such as collisions and congestion of switchboards, routers and servers, influence on a network reliability and safety (besides of hardware and software reliability and external extreme factors). The means and features of Failures Modes and Effects (Critical) Analysis (FME(C)A) for reliability and criticality analysis of corporate computer networks (CCN) are considered. The examples of FME(C)A-Technique for structured cable system (SCS) is given. We also discuss measures that can be used for criticality analysis and possible means of criticality reduction. Finally, we describe a technique and basic principles of dependable development and deployment of computer networks that are based on results of FMECA analysis and procedures of optimization choice of means for fault-tolerance ensuring.

Share and Cite:

I. Elyasi-Komari, A. Gorbenko, V. Kharchenko and A. Mamalis, "Analysis of Computer Network Reliability and Criticality: Technique and Features," International Journal of Communications, Network and System Sciences, Vol. 4 No. 11, 2011, pp. 720-726. doi: 10.4236/ijcns.2011.411088.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] B. B. Begun, O. B. Gorbanov, I. N. Kdenko, Ye. M. Pysmennyy, A. Yu. Zenyu and L. L. Lityinsky, “Probabilitistic the Analysis of Safety of Nuclear Stations,” (in Russian), Kiev National University, Kiev, 2000, p. 568.
[2] V. Kharchenko, V. Sklyar, B. Konorev, Yu. G. Аleksev, G. N. Chertkov, S. А. Zasukha and L. L. Semenov, “Assessment and Ensuring of Software Quality for Space Systems,” (In Russian), Kharkiv Aviation Institute, National Aerospace University named after N. Y. Zhu- kovsky, Ukraine, Kharkov, 2007, p. 244.
[3] IEC 60812 Standard, “Analysis Techniques for System Reliability—Procedure for Failure Modes and Effects Analysis,” FMEA, Geneve, 2006.
[4] A. V. Gorbenko, V. S. Kharchenko, O. M. Tarasyuk and A. A Furmanov. “F(I)MEA-Technique of Web-Services Analysis and Dependability Ensuring,” Rigorous Development of Complex Fault-Tolerant Systems, Lecture Notes in Computer Science, Vol. 4175, 2006, pp. 153-167. doi:10.1007/11916246_8
[5] E. Babeshko, V. S. Kharchenko and A. Gorbenko, “Applying F(I)MEA-Technique for SCADA-Based Industrial Control Systems Dependability Assessment and Ensuring,” Proceedings of the 2008 Third International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, Szklarska Poreba, 26-28 June 2008, pp. 309-315.
[6] H. Newi, J. Kiefer, J. Wolberg and H. Mihm, “Availability and Train Delayas—The CADM Approach,” proceeding of Safety and Reliability Conference, Rotterdam, 1999, pp. 159-163.
[7] ANSI/IEEE 352, “IEEE Guide for General Principles of Reliability Analysis of Nuclear Power Generating Station Safety Systems,” IEEE, New York, 1987.
[8] J. M. Voas, “The Challenges of Using COTS Software in Component-Based Development,” Computer, Vol. 31, No. 6, 1998, pp. 44-45. doi:10.1109/MC.1998.683006
[9] S. Hasan, B. Tekinerdogan and M. Aksit. “Reliability Analysis at the Software Architecture Design Level using Enhanced Failure Modes and Effects Analysis Approach,” Springer, Berlin, 2007, pp. 132-157.
[10] I. E. Komari. “Network Availability Assessment by Use of FME(C) A-Technique and Markov’S Models,” Proceedings of IEEE International Conference of East-West Design & Test, Yerevan, 2007, pp. 697-701.
[11] ISO/IEC 11801, “Generic Cabling for Customer Premises,” ISO/IEC JTC 1/SC 25, Interconnection of Information Technology Equipment, 1995.
[12] A. Zolfaghari and F. Kaudel, “Measuring Outages in Telecommunications Switched Networks,” IEEE Journal on Selected Areas in Communications, Vol. 31, No. 6, 1994, pp. 46-51. doi:10.1109/49.265703
[13] D. Verneza and F. Vuillea, “Method to Assess and Optimise Dependability of Complex Macro-Systems: Application to a Railway Signalling System,” Safety Science, Vol. 47, No. 3, 2009, pp. 382-394. doi:10.1016/j.ssci.2008.05.007
[14] A. Avizienis, J. C. Laprie, B. Randell and C. Landwehr, “Basic Concepts and Taxonomy of Dependable and Secure Computing,” IEEE Transactions on Dependable and Secure Computing, Vol. 1, No 1, 2004, pp. 11-33. doi:10.1109/TDSC.2004.2
[15] V. S. Kharchenko and D. A. Cherepakhin, “Risk Analysis of Control Systems by Use of QD-Diagrams and FMECA-Approach,” Proceeding of ESREL2001 Conference, Torino, 16-20 September 2001.
[16] V. S. Kharchenko, “Probabilistic Assessment of Survivability and Safety of Unmanned Control System with Multistage Degradation by Use of QD-diagrams,” 5th International Conference on Probabilistic Safety Assessment and Management, Osaka, 2000, pp. 525-531.
[17] J. Bowles and W. Chi, “Software Failure Modes and Effects Analysis for a Small Embedded Control System,” Proceeding of Annual Reliability and Maintainability Symposium, Philadelphia, 2001, pp. 1-6.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.