Computing the Moments of Polling Models with Batch Poisson Arrivals by Transform Inversion

DOI10.1287/IJOC.2018.0844zbMath1451.90045OpenAlexW2944785092MaRDI QIDQ5139610

Wu-Lin Chen

Publication date: 9 December 2020

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

Full work available at URL: https://doi.org/10.1287/ijoc.2018.0844

zbMATH Keywords

polling modelstransform inversioncyclic serverspseudo-transforms

Mathematics Subject Classification ID

Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)

Cites Work

• Unnamed Item
• Polling systems with batch service
• Mathematical methods to study the polling systems
• On the M/G/1 Queue with Rest Periods and Certain Service-Independent Queueing Disciplines
• Stochastic Decompositions in the M/G/1 Queue with Generalized Vacations
• Models for Design and Control of Stochastic, Multi-Item Batch Production Systems
• Computing distributions and moments in polling models by numerical transform inversion
• Performance analysis of flexible workcentres using multiqueue models
• Numerical Computation of the Moments of a Probability Distribution from its Transform

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