Skip to main content
Log in

Stochastic Fluid Models with Positive Jumps at Level Zero

  • Published:
Methodology and Computing in Applied Probability Aims and scope Submit manuscript

Abstract

This paper is interested in studying a type of production models-stocks that can be seen as a stochastic fluid flow system with upward jumps at level zero. The joint distribution of the stocks level and the controlling Markov process is governed by two differential systems with specific boundary conditions. The uniqueness of the solution of this problem has been proved. Also, a unified solution with no distinction between singular or invertible drift matrix is proposed. The mathematical expectation is therefore derived. This method is based on the uniformization technique, which is acknowledged by its numerical stability and accuracy. A comparative study with a spectral-based solution is achieved to confirm this statement.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abbessi W, Nabli H (2008) Comparison of computation methods for the steady-state Markov modulated fluid queues, 1st IEEE workshop on performance evaluation of communications in distributed systems and web based service architectures, Sousse, Tunisia

  • Asmussen S, Kella O (2000) A multi-dimensional martingale for Markov additive processes and its applications. Adv Appl Probab 32:376–393

  • Baht UN (1984) Elements of applied stochastic processes. Wiley, New York

  • Barron Y, Perry D, Stadje W (2014) A jump-fluid production-inventory model with double band control. Probab Eng Inf Sci 28:313–333

  • Da Silva Soares A, Latouche G (2005) Level-phase independence for fluid queues. Stoch Models 21:327–341

  • Grassmann WK (1977) Transient solutions in Markovian queues. Eur J Oper Res 1:396–402

  • Latouche G, Taylor PG (2009) A stochastic fluid model for an ad hoc mobile network. Queueing Syst 56:109–129

  • Kulkarni VG (2007a) Fluid models for production-inventory systems, PhD Thesis, Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, pp 27599

  • Kulkarni VG, Yan K (2007b) A fluid model with upward jumps at the boundary. Queueing Syst 56:103–117

  • Kulkarni VG, Yan K (2012) Production-inventory systems in stochastic environment and stochastic lead times. Queueing Syst 70:207–231

  • Li W, Liu Y, Zhao Y.Q (2019) Exact tail asymptotics for fluid models driven by an M/M/c queue. Queueing Syst 91:319–346

  • Miyazawa M, Takada H (2002) A matrix exponential form for hitting probabilities and its application to a Markov-modulated fluid queues with downward jumps. J Appl Probab 39:604–618

  • Nabli H (2004) Asymptotic solution of stochastic fluid models. Perform Eval 57:121–140

  • Nabli H, Ouerghi H (2009) Uniqueness of asymptotic solution for general Markov fluid models. Perform Eval 66:580–585

  • Nabli H, Alwan A (2016a) Some comments on the transient solution of stochastic fluid models. Sci J King Faisal Univ 17:25–33

  • Nabli H, Abbessi W, Ouerghi H (2016b) A unified algorithm for finite and finite buffer content distribution of Markov fluid models. Perf Eval 99-100:37–54

  • Nabli H, Soltan H (2017) Asymptotic solution of stochastic fluid model with upward jumps. Sci J King Faisal Univ 18:31–40

  • Ross SM (1996) Stochastic processe, 2nd edn. Wiley, New York

  • Scheinhardt WRW (1998) Markov-modulated and feedback fluid queues, Ph.D. Thesis, University of Twenty, Enschede

  • Sericola B, Tuffin B (1999) A fluid queue driven by a Markovian queue. Queueing Syst 31:253–264

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hédi Nabli.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nabli, H. Stochastic Fluid Models with Positive Jumps at Level Zero. Methodol Comput Appl Probab 24, 289–308 (2022). https://doi.org/10.1007/s11009-021-09852-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11009-021-09852-y

Keywords

Mathematics Subject Classification (2010)

Navigation