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Transient solution for queue-size distribution in a certain finite-buffer model with server working vacations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

A finite-buffer queueing model with Poisson arrivals and exponential processing times is investigated. Every time when the system empties, the server begins a generally distributed single working vacation period, during which the service is provided with another (slower) rate. After the completion of the vacation period the processing is being continued normally, with original speed. The next working vacation period is being initialized at the next time at which the system becomes empty, and so on. The system of Volterra-type integral equations for transient queue-size distribution, conditioned by the initial level of buffer saturation, is built. The solution of the corresponding system written for Laplace transforms is given in a compact-form using the linear algebraic approach and the corresponding result obtained for the ordinary model (without working vacation regime). Numerical examples are attached as well.

Original languageEnglish
Title of host publicationInformation and Software Technologies - 22nd International Conference, ICIST 2016, Proceedings
EditorsGiedre Dregvaite, Robertas Damasevicius
PublisherSpringer Verlag
Pages426-440
Number of pages15
ISBN (Print)9783319462530
DOIs
Publication statusPublished - 2016
Event22nd International Conference on Information and Software Technologies, ICIST 2016 - Druskininkai, Lithuania
Duration: 13 Oct 201615 Oct 2016

Publication series

NameCommunications in Computer and Information Science
Volume639
ISSN (Print)1865-0929

Conference

Conference22nd International Conference on Information and Software Technologies, ICIST 2016
Country/TerritoryLithuania
CityDruskininkai
Period13/10/1615/10/16

Keywords

  • Finite buffer
  • Poisson process
  • Queue size
  • Transient state
  • Working vacation

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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