Modeling and analysis of power-tail distributions via classical teletraffic methods

DOI10.1023/A:1019195522806zbMath0966.90020OpenAlexW1971622823MaRDI QIDQ5928756

Moshe Sidi, David Starobinski

Publication date: 3 April 2001

Published in: Queueing Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1019195522806

zbMATH Keywords

mixture of exponentialscommunication networksfittingGI/G/1 queueheavy-tail distributionhyperexponential distributionmultiple time-scale traffic

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)

Related Items (6)

On the Laplace transform of the Pareto distribution ⋮ Corrected Phase-Type Approximations of Heavy-Tailed Queueing Models in a Markovian Environment ⋮ On the accuracy of phase-type approximations of heavy-tailed risk models ⋮ Exact waiting time and queue size distributions for equilibrium \(M/G/1\) queues with Pareto service ⋮ Corrected phase-type approximations of heavy-tailed risk models using perturbation analysis ⋮ Sojourn times in the \(M/ PH/1\) processor sharing queue

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