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A Study of a Loss System with Priorities

  • Hang Yang
  • , Jing Fu
  • , Jingjin Wu*
  • , Moshe Zukerman
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

24 Downloads (CityUHK Scholars)

Abstract

The Erlang loss formula, also known as the Erlang B formula, has been known for over a century and has been used in a wide range of applications, from telephony to hospital intensive care unit management. It provides the blocking probability of arriving customers to a loss system involving a finite number of servers without a waiting room. Because of the need to introduce priorities in many services, an extension of the Erlang B formula to the case of a loss system with preemptive priority is valuable and essential. This paper analytically establishes the consistency between the global balance (steady state) equations for a loss system with preemptive priorities and a known result obtained using traffic loss arguments for the same problem. This paper, for the first time, derives this known result directly from the global balance equations based on the relevant multidimensional Markov chain. The paper also addresses the question of whether or not the well-known insensitivity property of the Erlang loss system is also applicable to the case of a loss system with preemptive priorities, provides explanations, and demonstrates through simulations that, except for the blocking probability of the highest priority customers, the blocking probabilities of the other customers are sensitive to the service time distributions and that a larger service time variance leads to a lower blocking probability of the lower priority traffic. © 2024 The Author(s). Published by Elsevier Ltd.
Original languageEnglish
Article numbere36109
JournalHeliyon
Volume10
Issue number16
Online published14 Aug 2024
DOIs
Publication statusPublished - 30 Aug 2024

Funding

The work described in this paper was supported by the City University of Hong Kong under Projects 7005292, 9610385, and 7005435 by the Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, BNU-HKBU United International College, Project code 2022B1212010006, by Guangdong Higher Education Upgrading Plan (2021-2025) UIC R0400001-22, and by Zhuhai Basic and Applied Basic Research Foundation Grant ZH22017003200018PWC.

Research Keywords

  • Loss system
  • Erlang B system
  • preemptive priorities
  • multidimensional Markov chain
  • insensitivity

Publisher's Copyright Statement

  • This full text is made available under CC-BY-NC 4.0. https://creativecommons.org/licenses/by-nc/4.0/

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