International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749

An Optimal Rejuvenation Strategy for Increasing Service Reliability of a VOIP System with Multiple Components

Vandana Gupta
Department of Operational Research, University of Delhi, Delhi, India.

Rahul Kumar
Department of Operational Research, University of Delhi, Delhi, India.

DOI https://dx.doi.org/10.33889/IJMEMS.2017.2.4-018

Received on October 10, 2016
  ;
Accepted on December 30, 2016

Abstract

In this day and age Voice over Internet Protocol (VoIP) has turned out to be a revolutionary technology in the field of telecommunication. Because of the escalating number of users of VoIP, it is essential to intend for a reliable VoIP system providing good quality of service. In this paper a stochastic model based on continuous time Markov chain is developed to analyze the reliability of a server based VoIP system comprising of significant components only. The concurrent breakdown of more than one component is taken into modeling concern. Redundancy at the component level is used with the purpose to boost the system reliability of VoIP. As a defensive course of action, software rejuvenation is implemented to avert or suspend software failures. And an optimal software rejuvenation strategy is proposed which leads to increased system reliability. Numerical results are presented for the quantitative examination of the suggested model.

Keywords- VoIP, System reliability, Continuous time Markov chain, Software rejuvenation, Optimal rejuvenation strategy.

Citation

Gupta, V., & Kumar, R. (2017). An Optimal Rejuvenation Strategy for Increasing Service Reliability of a VOIP System with Multiple Components. International Journal of Mathematical, Engineering and Management Sciences, 2(4), 231-241. https://dx.doi.org/10.33889/IJMEMS.2017.2.4-018.

Conflict of Interest

Acknowledgements

This research work is supported by the grant sanctioned under Research and Development Scheme of the University of Delhi, Delhi.

References

Gupta, V., & Dharmaraja, S. (2011). Semi-Markov modeling of dependability of VoIP network in the presence of resource degradation and security attacks. Reliability Engineering & System Safety, 96(12), 1627-1636.

Gupta, V., & Dharmaraja, S. (2013). Reliability and performance modelling of VoIP system with multiple component failures. International Journal of Reliability and Safety, 7(1), 58-74.

Karapantazis, S., & Pavlidou, F. N. (2009). VoIP: A comprehensive survey on a promising technology. Computer Networks, 53(12), 2050-2090.

Koutras, V. P., & Platis, A. N. (2006). Applying software rejuvenation in a two node cluster system for high availability. In proceedings International Conference on Dependability of Computer Systems (DEPCOS-RELCOMEX 06), 2285-2290.

Koutras, V. P., & Platis, A. N. (2006). Optimal rejuvenation policy for increasing VoIP service reliability. In proceedings European Safety and Reliability Conference. 2285-2290.

Koutras, V. P., & Platis, A. N. (2007). VoIP availability and service reliability through software rejuvenation policies. In proceedings International Conference on Dependability of Computer Systems, 262-269.

Koutras, V. P., Salagaras, C. P. S., & Platis, A. N. (2009). Software rejuvenation for higher levels of VoIP availability and mean time to failure. In proceedings International Conference on Dependability of Computer Systems, 99-106.

Osogami, T., & Harchol-Balter, M. (2006). Closed form solutions for mapping general distributions to quasi-minimal PH distributions. Performance Evaluation, 63(6), 524-552.

Platis, A. N., Limnios N., & Le Du, M. (1998). Dependability analysis of systems modeled by non-homogenous Markov chains. Reliability Engineering and System Safety, 61, 235-249.

Trivedi, K. S. (2001), Probability and statistics with reliability, queueing, and computer science applications, 2nd Ed. New York: Wiley.

Trivedi, K. S., Vaidyanathan, K., & Goseva-Postojanova, K. (2000). Modeling and analysis of software aging and rejuvenation. In proceedings IEEE Annual Simulation Symposium, 270-279.

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