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http://dx.doi.org/10.6109/jkiice.2016.20.9.1717

Analysis of Redundant System with Rejuvenation for High Availability of Networking Service  

Ryu, Hong-Rim (Department of Information and Communications Engineering, Dongeui University)
Shim, Jaechan (Network SW Platform Reserch Section, Electronics and Telecommunications Research Institute)
Ryu, Hoyong (Network SW Platform Reserch Section, Electronics and Telecommunications Research Institute)
Lee, Yutae (Department of Information and Communications Engineering, Dongeui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.9, 2016 , pp. 1717-1722 More about this Journal
Abstract
Availability, one of the important metrics used to assess the performance of network system, is defined as the probability that a system is operational at a given point in time under a given set of environmental conditions. To improve the availability of the network service, the redundancy models and the rejuvenation schemes are the effective schemes to be typically used. In this paper, we analyse the effect of 2N redundancy model and/or rejuvenation scheme on the availability of network service. The 2N redundancy model consists of one active and one standby component and the performance of time-based rejuvenation scheme mainly depends on its rejuvenation period. We design stochastic reward net model for the 2N redundancy model with time-based rejuvenation scheme and analyse the service availability of the model using stochastic Petri net package. We provide some numerical examples of the service availability, which shows that the system with rejuvenation has higher availability than the system without rejuvenation.
Keywords
Availability; Redundant; Rejuvenation; Stochastic Petri Net Package(SPNP);
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  • Reference
1 The Service Availability Forum, Application Interface Specification, April 2003 [Internet]. Available: http://www.saforum.org.
2 J. C. Shim, H. Y. Ryu, and S. H. Yang, Trends of High Availability Networking Services, Electronics and Telecommunications Trends, vol.30, no.6, pp. 79-89, 2015.
3 A. Kanso, F. Khendek, A. Mishra, and M. Toeroe, "Integrating Legacy Applications for High Availability: a Case Study," 2011 IEEE 13th International Symposium on High-Assurance Systems Engineering, pp. 83-90, 2011.
4 E. C. Andrade, F. Machida, D. S. Kim, K. S. Trivedi, "Modeling and Analyzing Server System with Rejuvenation through SysML and Stochastic Reward Nets," Proceedings of the 2011 Sixth International Conference on Availability, Reliability and Security, p.161-168, August 22-26, 2011
5 L. Jiang, X. Peng, and G. Xu, "Time and Prediction based Software Rejuvenation Policy," Proceedings of the 2010 Second International Conference on Information Technology and Computer Science(ITCS), Ukraine, pp. 115-117, July 24-25 2010.
6 D. Breuneo, S. Distefano, F. longo, A. Puliafito, and M. Scarpa, "Workload-Based Software Rejuvenation in Cloud Systems," IEEE Transactions on Computers, vol. 62, no. 6, pp. 1072-1085, February 2013.   DOI
7 H. Okamura and T. Dohi. "Optimization of Opportunity-Based Software Rejuvenation Policy" Proceedings of the 2012 IEEE 23rd International Symposium on Software Reliability Engineering Workshops(ISSREW), pp. 283-286, January 2013 .
8 A. A. Marsan and G. Balbo, "A class of generalized stochastic Petri nets for the performance evaluation of multiprocessor systems," ACM Trans. Comp. Systems, vol.2, no.2, pp.93-122, May 1984.   DOI
9 G. Ciardo and K. S. Trivedi, "SPNP User Manual, Version 6.0," Technical Report, Duke Univ., 1999.