Skip to main content

Reducing of Service Process Dimension for a General-Type Multichannel Network in Heavy Traffic

  • Conference paper
  • First Online:
Information Technologies and Mathematical Modelling. Queueing Theory and Applications (ITMM 2020)

Abstract

In the work a multichannel queueing network with a general input flow is considered [3]. There are no restrictions on the structure of the input flow. Heavy traffic conditions on the network parameters are introduced. A functional limit theorem for the service process of the network is proved provided that the conditions are satisfied. Approximative Gaussian process is constructed. An additional splittability condition for the switching matrix of the network yields an opportunity to merge network nodes and to reduce dimension of the limit process at the Gaussian approximation scheme. Convergence is proved in the uniform topology, which enables solving optimization problems for correspondent functionals.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Gnedenko, B.V., Kovalenko, I.N.: Introduction to Queueing Theory. Springer, Birkhauser, Boston Inc. (1989)

    Book  Google Scholar 

  2. Théorie des files d’attente 1, 2. In: Anisimov, V. Limnios, N. (eds.) Tendances avancées. ISTE Editions Ltd. (2021)

    Google Scholar 

  3. Massey, W.A., Witt, W.: A stochastic model to capture space and time dynamics in wireless communication systems. Probab. Eng. Inf. Sci. 8, 541–569 (1994)

    Article  Google Scholar 

  4. Moiseev, A., Nazarov, A.: Tandem of infinite-server queues with Markovian arrival process. In: Vishnevsky, V., Kozyrev, D. (eds.) DCCN 2015. CCIS, vol. 601, pp. 323–333. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-30843-2_34

    Chapter  Google Scholar 

  5. Gusak, D.V., Korolyuk, V.S.: Asymptotic behavior of semi-\(\rm M\)arkov processes with a splittable state set. Probab. Theory Math. Stat. 5, 43–50 (1971). (in Russian)

    Google Scholar 

  6. Korolyuk, V., Turbin, A.: Mathematical Foundation of the State Lumping of Large Systems. Springer, Dordrecht (1993)

    Book  Google Scholar 

  7. Anisimov, V.V.: Asymptotic enlargement of the states of random processes. Cybernetics 9, 494–504 (1973). https://doi.org/10.1007/BF01069207

    Article  Google Scholar 

  8. Korolyuk, V.S., Limnios, N.: Stochastic Systems in Merging Phase Space. World Scientific, Singapore (2005)

    Book  Google Scholar 

  9. Anisimov, V.V.: Switching Processes in Queueing Models. ISTE Ltd. (2008)

    Google Scholar 

  10. Samoilenko, I.V.: Large deviations for random evolutions with independent increments in the scheme of \(\rm L\)évy approximation with split and double merging. Random Oper. Stochast. Eqn. 22(2), 137–149 (2015)

    MATH  Google Scholar 

  11. Lebedev, E.O., Livinska, G.V.: On the asymptotic merging of the set of nodes in stochastic networks. Theor. Probab. Math. Stat. 101, 147–156 (2019)

    Google Scholar 

  12. Lebedev, E., Livinska, G.: Gaussian approximation of multi-channel networks in heavy traffic. In: Dudin, A., Klimenok, V., Tsarenkov, G., Dudin, S. (eds.) BWWQT 2013. CCIS, vol. 356, pp. 122–130. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-35980-4_14

    Chapter  MATH  Google Scholar 

  13. Lebedev, E., Chechelnitsky, A., Livinska, G.: Multi-channel network with interdependent input flows in heavy traffic. Theor. Probab. Math. Stat. 97, 109–119 (2017)

    MATH  Google Scholar 

  14. Livinska, H., Lebedev, E.: On transient and stationary regimes for multi-channel networks with periodic inputs. Appl. Stat. Comput. 319, 13–23 (2018)

    MathSciNet  MATH  Google Scholar 

  15. Lebedev, E., Makushenko, I.: Profit maximization and risk minimization in semi-Markovian networks. Cybern. Syst. Anal. 43(2), 213–224 (2007). https://doi.org/10.1007/s10559-007-0040-z

    Article  MathSciNet  MATH  Google Scholar 

  16. Korolyuk, V.S., Korolyuk, V.V.: Stochastic Models of Systems. Kluwer Acad. Press, Dordrecht (1999)

    Book  Google Scholar 

  17. Scorokhod, A.V.: Lectures on the Theory of Stochastic Processes. Lybid, Kyiv (1990). (in Ukrainian)

    Google Scholar 

  18. Lebedev, E.O.: A limit theorem for stochastic networks and its application. Theor. Probab. Math. Stat. 68, 81–92 (2003)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lebedev, E.A., Livinska, H. (2021). Reducing of Service Process Dimension for a General-Type Multichannel Network in Heavy Traffic. In: Dudin, A., Nazarov, A., Moiseev, A. (eds) Information Technologies and Mathematical Modelling. Queueing Theory and Applications. ITMM 2020. Communications in Computer and Information Science, vol 1391. Springer, Cham. https://doi.org/10.1007/978-3-030-72247-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-72247-0_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72246-3

  • Online ISBN: 978-3-030-72247-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics