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Consecutive customer losses in oscillating GI X/M//n systems with state dependent services rates

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Abstract

We address the probability that k or more Consecutive Customer Losses take place during a busy period of a queue, the so-called k-CCL probability, for oscillating GI X/M//n systems with state dependent services rates, also denoted as GI X/M(m)−M(m)//n systems, in which the service rates oscillate between two forms according to the evolution of the number of customers in the system. We derive an efficient algorithm to compute k-CCL probabilities in these systems starting with an arbitrary number of customers in the system that involves solving a linear system of equations. The results derived are illustrated for specific sets of parameters.

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References

  • Artalejo, J. R., & Economou, A. (2005). Markovian controllable queueing systems with hysteretic policies: busy period and waiting time analysis. Methodology and Computing in Applied Probability, 7(3), 353–378.

    Article  Google Scholar 

  • Bahary, E., & Kolesar, P. (1972). Multilevel bulk service queues. Operations Research, 20, 406–420.

    Article  Google Scholar 

  • Bratiychuk, M., & Chydzinski, A. (2003). On the ergodic distribution of oscillating queueing systems. Journal of Applied Mathematics and Stochastic Analysis, 16(4), 311–326.

    Article  Google Scholar 

  • Choi, B. D., & Choi, D. I. (1996). Queueing system with queue length dependent service times and its application to cell discarding scheme in ATM networks. IEEE Proceedings on Communications, 143(1), 5–11.

    Article  Google Scholar 

  • Choi, D. I., Knessl, C., & Tier, C. (1999). A queueing system with queue length dependent service times, with applications to cell discarding in ATM networks. Journal of Applied Mathematics and Stochastic Analysis, 12(1), 35–62.

    Article  Google Scholar 

  • Chydzinski, A. (2002). The M/G-G/1 oscillating queueing system. Queueing Systems, 42(3), 255–268.

    Article  Google Scholar 

  • Chydzinski, A. (2004a). On the remaining service time upon reaching a given level in M/G/1 queues. Queueing Systems, 47(1–2), 71–80.

    Article  Google Scholar 

  • Chydzinski, A. (2004b). The oscillating queue with finite buffer. Performance Evaluation, 57(3), 341–355.

    Article  Google Scholar 

  • Chydzinski, A. (2005). On the distribution of consecutive losses in a finite capacity queue. WSEAS Transactions on Circuits and Systems, 4(3), 117–124.

    Google Scholar 

  • de Boer, P.-T. (2000). Analysis and efficient simulation of queueing models of telecommunication systems. Ph.D. thesis, Centre for Telematics and Information Technology, University of Twente, The Netherlands.

  • de Boer, P.-T., & Nicola, V. F. (1998). Hybrid importance sampling estimation of consecutive cell loss probability. AEÜ International Journal of Electronics and Communications, 52(3), 133–140.

    Google Scholar 

  • de Boer, P.-T., Nicola, V. F., & van Ommeren, J.-K. C. W. (2001). The remaining service time upon reaching a high level in M/G/1 queues. Queueing Systems, 39(1), 55–78.

    Article  Google Scholar 

  • Dshalalow, J. H. (1997). Queueing systems with state dependent parameters. In Frontiers in queueing: models and applications in science and engineering (pp. 61–116). Boca Raton: CRC.

    Google Scholar 

  • Federgruen, A., & Tijms, H. C. (1980). Computation of the stationary distribution of the queue size in an M/G/1 queueing system with variable service rate. Journal of Applied Probability, 17(2), 515–522.

    Article  Google Scholar 

  • Ferreira, F., & Pacheco, A. (2006). Analysis of GI/M/s/c queues using uniformisation. Computers and Mathematics with Applications, 51(2), 291–304.

    Article  Google Scholar 

  • Golub, G. H., & van Loan, C. F. (1996). Matrix computations (3rd ed.). Baltimore: Hopkins.

    Google Scholar 

  • Golubchik, L., & Lui, J. C. S. (2002). Bounding of performance measures for threshold-based queuing systems: Theory and application to dynamic resource management in video-on-demand servers. IEEE Transactions on Computers, 51(4), 353–372.

    Article  Google Scholar 

  • Harris, T. J. (1971). The remaining busy period of a finite queue. Operations Research, 19, 219–223.

    Google Scholar 

  • Ibe, O. C., & Keilson, J. (1995). Multi-server threshold queues with hysteresis. Performance Evaluation, 21(3), 185–213.

    Article  Google Scholar 

  • Kant, L., & Sanders, W. H. (1995). Loss process analysis of the knockout switch using stochastic activity networks. In Procs. 4th international conference on computer communications and networks, Sept. 20–23, 1995 (pp. 344–349).

  • Kulkarni, V. G. (1995). Modeling and analysis of stochastic systems. London: Chapman and Hall.

    Google Scholar 

  • Kwiatkowska, M., Norman, G., & Pacheco, A. (2002). Model checking CSL until formulae with random time bounds. In Lecture notes in computer science (Vol. 2399, pp. 152–168). Berlin: Springer

    Google Scholar 

  • Lee, C., & Andersland, M. (1996). Consecutive cell loss controls for leaky-bucket admission systems. In Procs. of Globecom’96 (Vol. 3, pp. 1732–1738).

  • Lee, C. W., & Andersland, M. S. (1994). Minimizing consecutive packet loss in real-time ATM sessions. In Procs. of Globecom’94 (Vol. 2, pp. 935–940).

  • Li, S.-Q. (1989). Overload control in a finite message storage buffer. IEEE/ACM Transactions on Communications, 37(12), 1330–1337.

    Article  Google Scholar 

  • Loris-Teghem, J. (1981). Hysteretic control of an M/G/1 queueing system with two service time distributions and removable server. In Colloq. Math. Soc. János Bolyai : Vol. 24. Point processes and queuing problems (pp. 291–305). Amsterdam: North-Holland.

    Google Scholar 

  • Lu, F. V., & Serfozo, R. F. (1984). M/M/1 queueing decision processes with monotone hysteretic optimal policies. Operations Research, 32(5), 1116–1132.

    Google Scholar 

  • Pacheco, A., & Ribeiro, H. (2006). Consecutive customer loss probabilities in M/G/1/n and GI/M(m)//n systems. In Procs. workshop on tools for solving structured Markov chains, Pisa, Italy, October 10, 2006.

  • Peköz, E. A., Righter, R., & Xia, C. H. (2003). Characterizing losses during busy periods in finite buffer systems. Journal of Applied Probability, 40(1), 242–249.

    Article  Google Scholar 

  • Resnick, S. (1992). Adventures in stochastic processes. Boston: Birkhäuser.

    Google Scholar 

  • Rhee, H.-K., & Sivazlian, B. D. (1990). Distribution of the busy period in a controllable M/M/2 queue operating under the triadic (0,K,N,M) policy. Journal of Applied Probability, 27(2), 425–432.

    Article  Google Scholar 

  • Robert, P. (2003). Stochastic networks and queues. Berlin: Springer.

    Google Scholar 

  • Sriram, K., & Lucantoni, D. (1989). Traffic smoothing effects of bit dropping in a packet voice multiplexer. IEEE Transactions on Communications, 37(7), 703–712.

    Article  Google Scholar 

  • Sriram, K., McKinney, R. S., & Sherif, M. H. (1991). Voice packetization and compression in broadband ATM networks. IEEE Journal on Selected Areas in Communications, 9(3), 294–304.

    Article  Google Scholar 

  • Takine, T., Suda, T., & Hasegawa, T. (1995). Cell loss and output process analyses of a finite-buffer discrete-time ATM queueing system with correlated arrivals. IEEE Transactions on Communications, 43(2–4), 1022–1037.

    Article  Google Scholar 

  • Vijaya Laxmi, P., & Gupta, U. C. (2000). Analysis of finite-buffer multi-server queues with group arrivals: GI X/M/c/N. Queueing Systems, 36(1–3), 125–140.

    Article  Google Scholar 

  • Yadin, M., & Naor, P. (1967). On queueing systems with variable service capacities. Naval Research Logistics Quarterly, 14, 43–53.

    Article  Google Scholar 

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Correspondence to António Pacheco.

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This research was supported in part by Programa de Formação Avançada de Docentes do Ensino Superior Medida 5/Acção 5.3 (PRODEP III) and the Programa Operacional “Ciência, Tecnologia, Inovação” (POCTI) of the Fundação para a Ciência e a Tecnologia (FCT), cofinanced by the European Community fund FEDER, and the projects POSC/EIA/60061/2004, Euro-NGI, and Euro-FGI.

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Pacheco, A., Ribeiro, H. Consecutive customer losses in oscillating GI X/M//n systems with state dependent services rates. Ann Oper Res 162, 143–158 (2008). https://doi.org/10.1007/s10479-008-0313-6

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