Skip to main content
Log in

Stability criterion of a multiserver model with simultaneous service

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

In this paper, we study a multiserver system in which each customer requires a random number of servers simultaneously and a random but identical service time at all occupied servers. This model describes the dynamics of modern high performance clusters. Stability criteria of this system (under exponential assumptions) have been proved earlier for the two-server system only. Using a matrix-analytic approach, we obtain stability criteria of such a system under exponential assumptions and with an arbitrary number of servers.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Andrews, G. E. (1984). The theory of partitions. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Arthurs, E., & Kaufman, J. S. (1979). Sizing a message store subject to blocking criteria. In Proceedings of the third international symposium on modelling and performance evaluation of computer systems: Performance of computer systems (pp. 547–564). Amsterdam: North-Holland Publishing Co.

  • Asmussen, S. (2003). Applied probability and queues. New York: Springer.

    Google Scholar 

  • Brill, P. (1975). System point theory in exponential queues. Ph.D. thesis, University of Toronto.

  • Brill, P., & Green, L. (1984). Queues in which customers receive simultaneous service from a random number of servers: A system point approach. Management Science, 30(1), 51–68.

    Article  Google Scholar 

  • Brill, P., & Posner, M. (1981). The system point method in exponential queues: A level crossing approach. Mathematics of Operations Research, 6(1), 31–49.

    Article  Google Scholar 

  • Brill, P. H. (2008). Level crossing methods in stochastic models. New York: Springer-US.

    Book  Google Scholar 

  • Brualdi, R. A. (2009). Introductory combinatorics (5th ed.). New York: Pearson.

    Google Scholar 

  • Chakravarthy, S., & Karatza, H. (2013). Two-server parallel system with pure space sharing and markovian arrivals. Computers & Operations Research, 40(1), 510–519.

    Article  Google Scholar 

  • Erdős, P. (1942). On an elementary proof of some asymptotic formulas in the theory of partitions. Annals of Mathematics Second Series, 43, 437–450.

    Article  Google Scholar 

  • Federgruen, A., & Green, L. (1984). An M/G/c queue in which the number of servers required is random. Journal of Applied Probability, 21(3), 583.

    Article  Google Scholar 

  • Filippopoulos, D., & Karatza, H. (2007). An M/M/2 parallel system model with pure space sharing among rigid jobs. Mathematical and Computer Modelling, 45(5–6), 491–530.

    Article  Google Scholar 

  • Fletcher, G. Y., Perros, H., & Stewart, W. (1986). A queueing system where customers require a random number of servers simultaneously. European Journal of Operational Research, 23, 331–342.

    Article  Google Scholar 

  • Gillent, F., & Latouche, G. (1983). Semi-explicit solutions for M/PH/1-like queuing systems. European Journal of Operational Research, 13(2), 151–160. doi:10.1016/0377-2217(83)90077-2.

    Article  Google Scholar 

  • Green, L. (1978). Queues which allow a random number of servers per customer. Ph.D. thesis, Yale University.

  • Green, L. (1980a). Comparing operating characteristics of queues in which customers require a random number of servers. Management Science, 27(1), 65–74.

    Article  Google Scholar 

  • Green, L. (1980b). A queueing system in which customers require a random number of servers. Operations Research, 28(6), 1335–1346.

    Article  Google Scholar 

  • He, Q. M. (2014). Fundamentals of matrix-analytic methods. New York: Springer.

    Book  Google Scholar 

  • Ibe, O. C. (2009). Markov processes for stochastic modeling. Amsterdam, Boston: Academic Press.

    Google Scholar 

  • Ittimakin, P., & Kao, E. P. C. (1991). Stationary waiting time distribution of a queue in which customers require a random number of servers. Operations Research, 39(4), 633–638.

    Article  Google Scholar 

  • Kaufman, J. (1981). Blocking in a shared resource environment. IEEE Transactions on Communications, 29(10), 1474–1481.

    Article  Google Scholar 

  • Kim, S. (1979). M/M/s queueing system where customers demand multiple server use. Ph.D. thesis, Southern Methodist University.

  • Kipnis, C., & Robert, P. (1990). A dynamic storage process. Stochastic processes and their applications, 34(1), 155–169.

    Article  Google Scholar 

  • Latouche, G., & Ramaswami, V. (1999). Introduction to matrix analytic methods in stochastic modeling. Philadelphia: ASA-SIAM.

    Book  Google Scholar 

  • Neuts, M. F. (1980). Matrix-geometric solutions in stochastic models. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Neuts, M. F. (1981). Matrix-geometric solutions in stochastic models. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • Schaack, C., & Larson, R. C. (1989). An N server cutoff priority queue where arriving customers request a random number of servers. Management Science, 35(5), 614–634.

    Article  Google Scholar 

  • Seila, A. F. (1984). On waiting times for a queue in which customers require simultaneous service from a random number of servers. Operations Research, 32(5), 1181–1184.

    Article  Google Scholar 

  • Tikhonenko, O. (2005). Generalized Erlang problem for service systems with finite total capacity. Problems of Information Transmission, 41(3), 243–253.

    Article  Google Scholar 

  • Van Dijk, N. M. (1989). Blocking of finite source inputs which require simultaneous servers with general think and holding times. Operations Research Letters, 8(1), 45–52.

    Article  Google Scholar 

  • Whitt, W. (1985). Blocking when service is required from several facilities simultaneously. AT&T Technical Journal, 64(8), 1807–1856.

    Article  Google Scholar 

Download references

Acknowledgments

The authors thank Philippe Robert for his valuable comments and attracting attention to the paper (Kipnis and Robert 1990), and Bart Steyaert for some useful suggestions. The authors are also thankful to the anonymous referees for their careful reading and useful comments which have helped us to improve the readability of the paper. This work is supported by Russian Foundation for Basic Research, projects 13-07-00008, 14-07-31007, 15-07-02341, 15-07-02354, 15-07-02360, the organising committee of the ECQT2014 and the Program of strategic development of Petrozavodsk State University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexander Rumyantsev.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rumyantsev, A., Morozov, E. Stability criterion of a multiserver model with simultaneous service. Ann Oper Res 252, 29–39 (2017). https://doi.org/10.1007/s10479-015-1917-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10479-015-1917-2

Keywords

Mathematics Subject Classification

Navigation