Network heavy traffic modeling using α-stable self-similar processes

DOI10.1109/26.935161zbMath1063.68519OpenAlexW1498161437MaRDI QIDQ4553048

Anestis Karasaridis, Dimitrios Hatzinakos

Publication date: 2001

Published in: IEEE Transactions on Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/26.935161

zbMATH Keywords

modelingresource allocationlong-range dependencenetwork trafficself-similar stable processesqueueing distribution

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Network design and communication in computer systems (68M10) Queues and service in operations research (90B22)

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Fractional Lévy stable motion: finite difference iterative forecasting model ⋮ A novel flux-fluctuation law for network with self-similar traffic ⋮ Network intrusion detection using a stochastic resonance CFAR technique ⋮ Heuristic approximation method for a random flow of events by an MC-flow with arbitrary number of states ⋮ On \(1/f\) noise ⋮ Fractional Brownian motion: difference iterative forecasting models ⋮ Series solutions of time-fractional host-parasitoid systems ⋮ Fractal time series -- A tutorial review ⋮ Robust wavelet-domain estimation of the fractional difference parameter in heavy-tailed time series: An empirical study ⋮ Wavelet-based confidence intervals for the self-similarity parameter ⋮ Structural changes estimation for strongly dependent processes ⋮ Scaling properties of the empirical structure function of linear fractional stable motion and estimation of its parameters

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