Optimal control and performance analysis of an M X / M / 1 queue with batches of negative customers

Jesus R. Artalejo; Antonis Economou

RAIRO - Operations Research - Recherche Opérationnelle (2004)

  • Volume: 38, Issue: 2, page 121-151
  • ISSN: 0399-0559

Abstract

top
We consider a Markov decision process for an M X / M / 1 queue that is controlled by batches of negative customers. More specifically, we derive conditions that imply threshold-type optimal policies, under either the total discounted cost criterion or the average cost criterion. The performance analysis of the model when it operates under a given threshold-type policy is also studied. We prove a stability condition and a complete stochastic comparison characterization for models operating under different thresholds. Exact and asymptotic results concerning the computation of the stationary distribution of the model are also derived.

How to cite

top

Artalejo, Jesus R., and Economou, Antonis. "Optimal control and performance analysis of an $M^{X}/M/1$ queue with batches of negative customers." RAIRO - Operations Research - Recherche Opérationnelle 38.2 (2004): 121-151. <http://eudml.org/doc/245293>.

@article{Artalejo2004,
abstract = {We consider a Markov decision process for an $M^\{X\}/M/1$ queue that is controlled by batches of negative customers. More specifically, we derive conditions that imply threshold-type optimal policies, under either the total discounted cost criterion or the average cost criterion. The performance analysis of the model when it operates under a given threshold-type policy is also studied. We prove a stability condition and a complete stochastic comparison characterization for models operating under different thresholds. Exact and asymptotic results concerning the computation of the stationary distribution of the model are also derived.},
author = {Artalejo, Jesus R., Economou, Antonis},
journal = {RAIRO - Operations Research - Recherche Opérationnelle},
keywords = {queueing; Markov decision processes; negative customers; stationary distribution; stochastic comparison; Markov decision processesl},
language = {eng},
number = {2},
pages = {121-151},
publisher = {EDP-Sciences},
title = {Optimal control and performance analysis of an $M^\{X\}/M/1$ queue with batches of negative customers},
url = {http://eudml.org/doc/245293},
volume = {38},
year = {2004},
}

TY - JOUR
AU - Artalejo, Jesus R.
AU - Economou, Antonis
TI - Optimal control and performance analysis of an $M^{X}/M/1$ queue with batches of negative customers
JO - RAIRO - Operations Research - Recherche Opérationnelle
PY - 2004
PB - EDP-Sciences
VL - 38
IS - 2
SP - 121
EP - 151
AB - We consider a Markov decision process for an $M^{X}/M/1$ queue that is controlled by batches of negative customers. More specifically, we derive conditions that imply threshold-type optimal policies, under either the total discounted cost criterion or the average cost criterion. The performance analysis of the model when it operates under a given threshold-type policy is also studied. We prove a stability condition and a complete stochastic comparison characterization for models operating under different thresholds. Exact and asymptotic results concerning the computation of the stationary distribution of the model are also derived.
LA - eng
KW - queueing; Markov decision processes; negative customers; stationary distribution; stochastic comparison; Markov decision processesl
UR - http://eudml.org/doc/245293
ER -

References

top
  1. [1] J.R. Artalejo, G-networks: A versatile approach for work removal in queueing networks. Eur. J. Oper. Res. 126 (2000) 233-249. Zbl0971.90007MR1785793
  2. [2] D. Bertsekas, Dynamic Programming, Deterministic and Stochastic Models. Prentice-Hall, Englewood Cliffs, New Jersey (1987). Zbl0649.93001MR896902
  3. [3] R.K. Deb, Optimal control of bulk queues with compound Poisson arrivals and batch service. Opsearch 21 (1984) 227-245. Zbl0552.60092MR777833
  4. [4] R.K. Deb and R.F. Serfozo, Optimal control of batch service queues. Adv. Appl. Prob. 5 (1973) 340-361. Zbl0264.60066MR341657
  5. [5] X. Chao, M. Miyazawa and M. Pinedo, Queueing Networks: Customers, Signals and Product Form Solutions. Wiley, Chichester (1999). Zbl0936.90010
  6. [6] A. Economou, On the control of a compound immigration process through total catastrophes. Eur. J. Oper. Res. 147 (2003) 522-529. Zbl1026.90091MR1965253
  7. [7] A. Federgruen and H.C. Tijms, Computation of the stationary distribution of the queue size in an M / G / 1 queueing system with variable service rate. J. Appl. Prob. 17 (1980) 515-522. Zbl0428.60093MR568961
  8. [8] E. Gelenbe, Random neural networks with negative and positive signals and product-form solutions. Neural Comput. 1 (1989) 502-510. 
  9. [9] E. Gelenbe, Product-form queueing networks with negative and positive customers. J. Appl. Prob. 28 (1991) 656-663. Zbl0741.60091MR1123837
  10. [10] E. Gelenbe, G-networks with signals and batch removal. Probab. Eng. Inf. Sci. 7 (1993) 335-342. 
  11. [11] E. Gelenbe, P. Glynn and K. Sigman, Queues with negative arrivals. J. Appl. Prob. 28 (1991) 245-250. Zbl0744.60110MR1090463
  12. [12] E. Gelenbe and R. Schassberger, Stability of product form G-networks. Probab. Eng. Inf. Sci. 6 (1992) 271-276. Zbl1134.60396
  13. [13] E. Gelenbe and G. Pujolle, Introduction to Queueing Networks. Wiley, Chichester (1998). Zbl0654.60079MR874339
  14. [14] P.G. Harrison and E. Pitel, The M/G/1 queue with negative customers. Adv. Appl. Prob. 28 (1996) 540-566. Zbl0861.60088MR1387890
  15. [15] O. Hernandez-Lerma and J. Lasserre, Discrete-time Markov Control Processes. Springer, New York (1996). Zbl0840.93001MR1363487
  16. [16] E.G. Kyriakidis, Optimal control of a truncated general immigration process through total catastrophes. J. Appl. Prob. 36 (1999) 461-472. Zbl0955.90147MR1724812
  17. [17] E.G. Kyriakidis, Characterization of the optimal policy for the control of a simple immigration process through total catastrophes. Oper. Res. Letters 24 (1999) 245-248. Zbl0954.90063MR1719920
  18. [18] T. Nishigaya, K. Mukumoto and A. Fukuda, An M / G / 1 system with set-up time for server replacement. Transactions of the Institute of Electronics, Information and Communication Engineers J74-A-10 (1991) 1586-1593. 
  19. [19] S. Nishimura and Y. Jiang, An M / G / 1 vacation model with two service modes. Prob. Eng. Inform. Sci. 9 (1994) 355-374. Zbl1335.60173MR1365266
  20. [20] R.D. Nobel and H.C. Tijms, Optimal control of an M X / G / 1 queue with two service modes. Eur. J. Oper. Res. 113 (1999) 610-619. Zbl0947.90028
  21. [21] M. Puterman, Markov Decision Processes. Wiley, New York (1994). Zbl0829.90134MR1270015
  22. [22] S.M. Ross, Applied Probability Models with Optimization Applications. Holden-Day Inc., San Francisco (1970). Zbl0213.19101MR264792
  23. [23] S.M. Ross, Introduction to Stochastic Dynamic Programming. Academic Press, New York (1983). Zbl0567.90065MR749232
  24. [24] L.I. Sennott, Stochastic Dynamic Programming and the Control of Queueing Systems. Wiley, New York (1999). Zbl0997.93503MR1645435
  25. [25] L.I. Sennott, P.A. Humblet and R.L. Tweedie, Mean drifts and the non-ergodicity of Markov chains. Oper. Res. 31 (1983) 783-789. Zbl0525.60072MR720515
  26. [26] R. Serfozo, An equivalence between continuous and discrete time Markov decision processes. Oper. Res. 27 (1979) 616-620. Zbl0413.90079MR533923
  27. [27] D. Stoyan, Comparison Methods for Queues and Other Stochastic Models. Wiley, Chichester (1983). Zbl0536.60085MR754339
  28. [28] J. Teghem, Control of the service process in a queueing system. Eur. J. Oper. Res. 23 (1986) 141-158. Zbl0583.60092MR825606
  29. [29] H.C. Tijms, A First Course in Stochastic Models. Wiley, Chichester (2003). Zbl1088.60002MR2190630
  30. [30] W.S. Yang, J.D. Kim and K.C. Chae, Analysis of M/G/1 stochastic clearing systems. Stochastic Anal. Appl. 20 (2002) 1083-1100. Zbl1019.60087MR1938256

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.