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$MAP1, MAP2/G/1 FINITE QUEUES WITH SERVICE SCHEDULING FUNCTION DEPENDENT UPON QUEUE LENGTHS

  • Choi, Doo-Il (DEPARTMENT OF APPLIED MATHEMATICS HALLA UNIVERSITY) ;
  • Lee, Sang-Min (CONVERGED SERVICE DEVELOPMENT DEPARTMENT PLATFORM LABORATORY, KT)
  • Published : 2009.07.31

Abstract

We analyze $MAP_1,\;MAP_2$/G/1 finite queues with service scheduling function dependent upon queue lengths. The customers are classified into two types. The arrivals of customers are assumed to be the Markovian Arrival Processes (MAPs). The service order of customers in each buffer is determined by a service scheduling function dependent upon queue lengths. Methods of embedded Markov chain and supplementary variable give us information for queue length of two buffers. Finally, the performance measures such as loss probability and mean waiting time are derived. Some numerical examples also are given with applications in telecommunication networks.

Keywords

References

  1. S. Asmussen and G. Koole, Marked point processes as limits of Markovian arrival streams, J. Appl. Probab. 30 (1993), no. 2, 365–372
  2. D. I. Choi, B. D. Choi, and D. K. Sung, Performance analysis of priority leaky bucket scheme with queue-length-threshold scheduling policy, IEE Proc. Comm. 145 (1998), no. 6, 395–401 https://doi.org/10.1049/ip-com:19982287
  3. B. D. Choi, Y. C. Kim, D. I. Choi, and D. K. Sung, An analysis of M, MMPP/G/1 queue with QLT scheduling policy and Bernoulli schedule, IEICE Tran. on Comm. E81-B (1998), no. 1, 13–22
  4. D. I. Choi, T. S. Kim, and S. M. Lee, Analysis of a queueing system with a general service scheduling function, with applications to telecommunication network traffic control, European J. Oper. Res. 178 (2007), no. 2, 463–471 https://doi.org/10.1016/j.ejor.2005.12.036
  5. D. I. Choi and Y. Lee, Performance analysis of a dynamic priority queue for traffic control of bursty traffics in ATM networks, IEE Proc. Commun. 148 (2001), no. 6, 395–401
  6. E. Cinlar, Markov renewal theory, Advances in Appl. Probability 1 (1969), 123–187
  7. S. S. Fratini, Analysis of a dynamic priority queue, Comm. Statist. Stochastic Models 6 (1990), no. 3, 415–444 https://doi.org/10.1080/15326349908807155
  8. A. Graham, Kronecker Products and Matrix Calculus: with applications, Ellis Horwood Series in Mathematics and its Applications. Ellis Horwood Ltd., Chichester; Halsted Press [John Wiley & Sons, Inc.], New York, 1981
  9. H. Heffes and D. M. Lucantoni, A Markov-modulated characterization of packetized voice and data traffic and related statistical multiplexer performance, IEEE J. Select. Areas Commun. 6 (1986), 856–868
  10. C. Knessl, D. I. Choi, and C. Tier, A dynamic priority queue model for simultaneous service of two traffic types, SIAM J. Applied Mathematics 63 (2002), no. 2, 398–422 https://doi.org/10.1137/S0036139901390842
  11. D. M. Lucantoni, K. S. Meier-Hellstern, and M. F. Neuts, A single-server queue with server vacations and a class of nonrenewal arrival processes, Adv. in Appl. Probab. 22 (1990), no. 3, 676–705
  12. H. Nassar and H. Al. Mahdi, Queueing analysis of an ATM multimedia multiplexer with nonpreemptive priority, IEE Proc. Commun. 150 (2003), no. 3, 189–196
  13. A. Sugahara, T. Takine, Y. Takahashi, and T. Hasegawa, Analysis of a nonpreemptive priority queue with SPP arrivals of high class, Performance Evaluation 21 (1995), no. 3, 215–238 https://doi.org/10.1016/0166-5316(93)E0044-6