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Efficient and Reliable Computation of Birth-Death Process Performance Measures

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Publication:2815427
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DOI10.1287/ijoc.1100.0435zbMath1465.60079OpenAlexW1969556115MaRDI QIDQ2815427

Ling Tang, Armann Ingolfsson

Publication date: 29 June 2016

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/2c0116ba2c9de1f91bee962b5366bff1e762a111


zbMATH Keywords

algorithmsqueuesbirth-deathErlang AErlang BErlang C


Mathematics Subject Classification ID

Queues and service in operations research (90B22) Branching processes (Galton-Watson, birth-and-death, etc.) (60J80)


Related Items

Algorithms for Queueing Systems with Reneging and Priorities Modeled as Quasi-Birth-Death Processes ⋮ Modeling Load and Overwork Effects in Queueing Systems with Adaptive Service Rates



Cites Work

  • Markov chain models of a telephone call center with call blending
  • Calculation of steady-state probabilities of M/M queues: Further approaches
  • BOUNDS ON TAIL PROBABILITIES OF DISCRETE DISTRIBUTIONS
  • Engineering Solution of a Basic Call-Center Model
  • The Classification of Birth and Death Processes
  • Stochastic monotonicity of birth–death processes
  • Some Properties of the Erlang Loss Function
  • A formula for tail probabilities of Cox distributions
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