Approximating class-departure variability in tandem queues with downtime events: regression-based variability function

DOI10.1016/j.cor.2017.07.003zbMath1391.90197OpenAlexW2726533540MaRDI QIDQ1651536

Ruth Sagron, Israel Tirkel, Gadi Rabinowitz

Publication date: 12 July 2018

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cor.2017.07.003

zbMATH Keywords

tandem queuesclass-departure variabilitydecomposition approximation methodsqueue performanceregression-based variability function (RBVF)

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22) Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)

Related Items (2)

A new solution approach for multi-stage semi-open queuing networks: an application in shuttle-based compact storage systems ⋮ Point and interval estimation of decomposition error in discrete-time open tandem queues

Cites Work

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• Some inequalities for the queue GI/G/1

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