Traffic intensity estimation in finite Markovian queueing systems

DOI10.1155/2018/3018758zbMath1426.90067OpenAlexW2811490296MaRDI QIDQ1720712

Frederico R. B. Cruz, Márcio A. C. Almeida, Marcos F. S. V. D'Angelo, Tom Van Woensel

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/3018758

Mathematics Subject Classification ID

Non-Markovian processes: estimation (62M09) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)

Related Items

Bayesian inference and prediction in an M/D/1 queueing system, Change point estimation in an \(M/M/2\) queue with heterogeneous servers, Nonparametric estimation for multi-server queues based on the number of clients in the system, Unnamed Item, Simple and yet efficient estimators for Markovian multiserver queues, Modeling and optimization of buffers and servers in finite queueing networks, Estimation of traffic intensity from queue length data in a deterministic single server queueing system, A fast simulation model based on Lindley's recursion for the G/G/1/K queue

Uses Software

• R
• bootstrap
• HI

Cites Work

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• Performance evaluation and dimensioning of \(GI^X/M/c/N\) systems through kernel estimation
• Statistical performance of a multiclass bulk production queueing system
• Bayesian inference and prediction in the single server Markovian queue
• Bayesian prediction in \(M/M/1\) queues
• Prediction in Markovian bulk arrival queues
• Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. With a comment by J. A. Hartigan and a rejoinder by the authors
• CTM based real-time queue length estimation at signalized intersection
• A method for queue length estimation in an urban street network based on roll time occupancy data
• On estimating the parameter of a truncated geometric distribution
• Bayesian hierarchical models in manufacturing bulk service queues
• Estimation of Traffic Intensity Based on Queue Length in a Single M/M/1 Queue
• Inference and prediction in bulk arrival queues and queues with service in stages
• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• Bayesian estimation of traffic intensity based on queue length in a multi-server M/M/s queue
• A note on Bayesian estimation of traffic intensity in single-server Markovian queues