Abstract
With the wide deployment of intelligent network (IN) services, there is an urgent need to understand and solve teletraffic performance issues of the evolving network intelligence platform. This paper discusses a queuing system model for the performance analysis of IN call processing. The intelligent network is presented as a network of queues where the total number of customers (e.g., SSPs) is fixed, thus forming a closed queuing network. The IN distributed architecture is modeled as a finite source queuing model – M/G/1/K/K. The expected response time for that model is analyzed and computed. The numerical results and the corresponding curves are provided and, related to open questions, future work is summarized.
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References
R. Ackeley, A. Elvidge, T. Ingham and J. Shepherdson, Network intelligence – performance by design, IEICE Transactions on Communication E80-B(2) (1997) 219–229.
A.O. Allen, Probability, Statistics, and Queueing Theory: With Computer Science Applications, 2nd ed. (Academic Press, 1990).
M. Bafutto and M. Schopp, Network performance and capacity figures of intelligent networks based on the ITU-TS IN capability set-1, in: Proceedings of the International Workshop on Advanced Intelligent Networks (AIN'96), Passau, Germany, 1996, pp. 15–29.
D. Bertsekas and R. Gallager, Data Networks, 2nd ed. (Prentice Hall, 1992).
Y. Diao, J.L. Hellerstein and S. Parekh, Stochastic modeling of lotus notes with a queueing model, in: Proceedings of the Computer Measurement Group, 2001.
L. Kleinrock, Queueing Systems, Vol. 2: Computer Applications (Wiley-Interscience, 1986).
L. Kleinrock and R. Gail, Solution Manual for Queueing Systems, Vol. 2: Computer Applications (Technology Transfer Institute, 1986).
C.A. Licciardi, G. Canal, A. Andreetto and P. Lago, An architecture for IN–Internet hybrid services, Elsevier Computer Networks 35 (2001) 537–549.
L. Lipsky and J.D. Church, Applications of a queueing network model for a computer system, Computing Surveys 9(3) (1977) 205–221.
E. Masuda, T. Mishima, N. Takaya, K. Nakai and M. Hirano, A large-capacity service control node architecture using multicasting access to decentralized databases in the advanced intelligent network, IEICE Transactions on Communication E84-B(10) (2001) 2768–2780.
I. Mitrani, Probabilistic Modelling (Cambridge Univ. Press, 1998).
M. Tanner, Practical Queueing Analysis, IBM McGraw-Hill Series (McGraw-Hill, 1995).
M.H. van Hoorn, Algorithms and approximations for queueing systems, Ph.D. thesis, Vrije Universiteit te Amsterdam, Mathematical Center, Amsterdam (1983).
J. Yan and D. MacDonald, Teletraffic performance in intelligent network services, in: Proceedings of the 14th International Teletraffic Congress, Antibes, Juan-les-Pins, France, June 1994, pp. 357–366.
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Kryvinska, N. Intelligent Network Analysis by Closed Queuing Models. Telecommunication Systems 27, 85–98 (2004). https://doi.org/10.1023/B:TELS.0000032945.92937.8f
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DOI: https://doi.org/10.1023/B:TELS.0000032945.92937.8f