Limiting distribution for infinite-server batch service queues

Bara Kim, Jeongsim Kim

Research output: Contribution to journalArticlepeer-review

Abstract

Nakamura and Phung-Duc (2023) conjectured that, for an infinite-server batch service queue with Poisson arrivals, the central limit theorem for the number of busy servers, conditioned on the number of waiting customers and the size of the batch to be served, holds as the arrival rate goes to infinity. In this paper, we resolve this conjecture using the theory of Markov regenerative processes and further extend the result to renewal arrival models.

Original languageEnglish
Article number110327
JournalStatistics and Probability Letters
Volume219
DOIs
Publication statusPublished - 2025 Apr

Bibliographical note

Publisher Copyright:
© 2024 Elsevier B.V.

Keywords

  • Central limit theorem
  • Infinite server queue
  • Law of large numbers
  • Markov regenerative processes

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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