Robust design of server capability in M/M/1 queues with both partly random arrival and service rates

DOI10.1016/S0305-0548(00)00081-2zbMath0995.90016OpenAlexW2076813085WikidataQ126839217 ScholiaQ126839217MaRDI QIDQ5959402

So Young Sohn

Publication date: 24 October 2002

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

Full work available at URL: https://doi.org/10.1016/s0305-0548(00)00081-2

zbMATH Keywords

stochastic optimizationnetwork server capabilityqueueing analysistraffic intensity

Mathematics Subject Classification ID

Stochastic programming (90C15) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22) Deterministic network models in operations research (90B10) Traffic problems in operations research (90B20)

Related Items (5)

Random effects logistic regression model for default prediction of technology credit guarantee fund ⋮ Random effects model for credit rating transitions ⋮ Simulation study for the optimal repair capacity of an IT maintenance center based on LRD failure distribution ⋮ Random effects Weibull regression model for occupational lifetime ⋮ Bayesian hierarchical models in manufacturing bulk service queues

Uses Software

• SAS

Cites Work

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• A subjective Bayesian approach to the theory of queues. I: Modeling
• Statistical analysis of queueing systems
• Empirical Bayes estimation for queueing systems and networks
• Bayesian prediction in \(M/M/1\) queues
• Bayesian inference in Markovian queues
• Empirical Bayesian analysis for traffic intensity: \(M/M/1\) queues with covariates
• Estimation in single server queues
• Influence of a prior distribution on traffic intensity estimation with covariates

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