9783843360487 - available bandwidth estimation: a hidden markov model approach di guerrero, cesar (5 risultati)
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The estimation of the available bandwidth in a network end-to-end path can be used to improve the performance of several network applications: network management, traffic engineering, flow and congestion control, routing protocols,… admission control, among others. Current estimation tools use either the probe gap model or the probe rate model sampling techniques. In this work, bandwidth estimation tools and techniques are studied and a hidden Markov model (HMM) approach is investigated to incorporate the dynamics of the available bandwidth. The model is used by a proposed estimator that samples the network and generates estimations adjusted by the HMM. This adjustment makes it possible to obtain acceptable estimation accuracy with a small number of samples and in a short period of time. The estimation called Traceband is fast, accurate and introduces low probing traffic to the network. A moving average technique can be implemented to smooth out the estimations and improves Traceband's accuracy even further. 152 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Guerrero CesarProfessor Guerrero received his Ph.D. in Computer Science and Engineering from University of South Florida in 2009. He is Full Professor at UNAB and his research interest includes Network… Measurement and Engineering .
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The estimation of the available bandwidth in a network end-to-end path can be used to improve the performance of several network applications: network management, traffic engineering, flow and congestion control, routing protocols, adm…ission control, among others. Current estimation tools use either the probe gap model or the probe rate model sampling techniques. In this work, bandwidth estimation tools and techniques are studied and a hidden Markov model (HMM) approach is investigated to incorporate the dynamics of the available bandwidth. The model is used by a proposed estimator that samples the network and generates estimations adjusted by the HMM. This adjustment makes it possible to obtain acceptable estimation accuracy with a small number of samples and in a short period of time. The estimation called Traceband is fast, accurate and introduces low probing traffic to the network. A moving average technique can be implemented to smooth out the estimations and improves Traceband's accuracy even further.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 61,22 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The estimation of the available bandwidth in a network end-to-end path can be used to improve the performance of several network applications: network management, traffic engineering, flow and congestion control, routing protocols, admi…ssion control, among others. Current estimation tools use either the probe gap model or the probe rate model sampling techniques. In this work, bandwidth estimation tools and techniques are studied and a hidden Markov model (HMM) approach is investigated to incorporate the dynamics of the available bandwidth. The model is used by a proposed estimator that samples the network and generates estimations adjusted by the HMM. This adjustment makes it possible to obtain acceptable estimation accuracy with a small number of samples and in a short period of time. The estimation called Traceband is fast, accurate and introduces low probing traffic to the network. A moving average technique can be implemented to smooth out the estimations and improves Traceband's accuracy even further.
