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A new approach for dependability planning of network systems

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Abstract

In this paper, a new approach to managing reliability of network systems is proposed. In contrast to the well-known problem formulation of reliability optimization it takes into account many parameters of a system such as costs, operational reliability, the profit from system operation, penalties for delays and failures. The objective function and boundary conditions for this problem formulation are derived. Explicit analytical expressions for an optimization of network systems are based on its performance metrics. The method can be used while designing of telecommunication systems, computer networks, network-centric and service-oriented systems.

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References

  • Barlow R, Proschan F (1996) Mathematical theory of reliability. SIAM, Philadelphia

    Book  MATH  Google Scholar 

  • Blischke W, Prabhakar D (2000) Reliability: modeling, prediction, and optimization. Wiley, New York

    Book  Google Scholar 

  • Claudio M (2000) A cellular, evolutionary approach applied to reliability optimization of complex systems, proceedings annual reliability and maintainability symposium, IEEE, New York, pp. 210–215

  • Feoktistov V (2006) Differential evolution, in search of solutions. Springer, New York

    MATH  Google Scholar 

  • ITU-T Recommendation E.862 (Rev. 1) (1992) Dependability planning of telecommunication networks. Geneva

  • Kalimulina E Yu (2009) A parallel algorithm for reliability optimization of communications systems, IEEE international siberian conference on control and communications, (SIBCON-2009), pp. 21–24

  • Kalimulina E Yu (2009) The approximate analysis of reliability of large-scale parallel communication networks with various subsystem configuration, IEEE international siberian conference on control and communications (SIBCON-2009), pp. 42–47

  • Myers A (2010) Complex system reliability: multichannel systems with imperfect fault coverage. Springer Series in Reliability Engineering, New York

    Book  Google Scholar 

  • Mettas A (2007) Reliability allocation and optimization for complex systems, IEEE transactions on reliability, p 7

  • Johan A, Petter K (2001) Multiobjective optimization of mixed variable design problems, Proceedings of the first international conference on multi-criterion optimization, Zurich, pp. 624–638

  • Kuo W, Zuo MJ (2003) Optimal reliability modeling, principles and applications. Wiley, New York

    Google Scholar 

  • Verma DC (2004) Service level agreements on IP networks. Proceedings of the IEEE, vol 92, pp. 1382–1388

  • Shooman ML (1994) A mathematical formulation of reliability optimized design, lecture notes in control and information sciences: system modelling and optimization, vol 197, pp. 930–950

  • Shooman M (2002) Reliability of computer systems and networks, fault tolerance, analysis and design. Wiley, New York

    Google Scholar 

  • Sooktip T, Wattanapongsakorn N, Coit DW (2011) System reliability optimization with k-out-of-n subsystems and changing k, 9th international conference on reliability, maintainability and safety (ICRMS), pp. 1382–1387

  • Tillman FA, Hwang CL, Kuo W (1980) Optimization of systems reliability. Marcel Dekker, New York

    MATH  Google Scholar 

  • Ramakumar R (2000) Reliability engineering. CRC Press LLC, London

    Google Scholar 

  • Ushakov IA (1994) Handbook of releability engineering. Wiley, New York

    Book  Google Scholar 

  • Price KV, Storn RM, Lampinen JA (2005) Differential evolution, a practical approach to global optimization. Springer, Berlin

    MATH  Google Scholar 

  • Xiaoli Z, Smith A (2010) Spare optimization using genetic algorithms, 2nd international workshop on intelligent systems and applications (ISA), pp. 1–4

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Acknowledgments

Supported by the Russian Foundation for Basic Research, project no. 12-07-31214.

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Correspondence to Elmira Yu. Kalimulina.

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Kalimulina, E.Y. A new approach for dependability planning of network systems. Int J Syst Assur Eng Manag 4, 215–222 (2013). https://doi.org/10.1007/s13198-013-0185-2

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  • DOI: https://doi.org/10.1007/s13198-013-0185-2

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