Value (Generating) Functions for the MX/G/1 Queue

Esa Hyytia, Rhonda Righter, Jorma Virtamo, Lauri Viitasaari

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

Abstract

We analyze the MX/G/1 queue in the framework of Markov decision processes (MDPs). The service times become known upon arrival, and each job incurs a cost according to a given cost function. The value function is a central concept in MDP theory as it characterizes the value of the system's state with respect to future developments. We derive compact expressions for the generating functions for general families of value functions corresponding to often used cost structures defined in terms of waiting and sojourn times. Moreover, we consider systems with and without setup delays.

Original languageEnglish
Title of host publicationProceedings of the 29th International Teletraffic Congress, ITC 2017
EditorsRaffaele Bolla, Florin Ciucu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages232-240
Number of pages9
ISBN (Electronic)9780988304536
DOIs
Publication statusPublished - 10 Oct 2017
Event29th International Teletraffic Congress, ITC 2017 - Genoa, Italy
Duration: 4 Sept 20178 Sept 2017

Publication series

NameProceedings of the 29th International Teletraffic Congress, ITC 2017
Volume1

Conference

Conference29th International Teletraffic Congress, ITC 2017
Country/TerritoryItaly
CityGenoa
Period4/09/178/09/17

Bibliographical note

Funding Information: This work was supported by the Academy of Finland in the FQ4BD and TOP-Energy projects (grant nos. 296206 and 268992). We thank the anonymous referees and our shepherd, Mark Squillante, for helping to improve the paper. Publisher Copyright: © 2017 ITC Press.

Other keywords

  • Batch arrivals
  • Generating function
  • LST
  • Laplace transform
  • M/G/1
  • MDP
  • Value function

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