Multiresolution Analysis for Effective Dynamic Bandwidth Management: Using Wavelets and Traffic Prediction to Meet Quality of Service Needs of Network Applications - Couverture souple

Turner, Claude

 
9783838314907: Multiresolution Analysis for Effective Dynamic Bandwidth Management: Using Wavelets and Traffic Prediction to Meet Quality of Service Needs of Network Applications
Couverture souple
ISBN 10 : 3838314905 ISBN 13 : 9783838314907
Editeur : LAP LAMBERT Academic Publishing, 2009

Synopsis

In recent years, growing processing power and bandwidth have stimulated a new breed of network applications requiring the development of more sophisticated traffic management algorithms to meet their stringent QoS needs. One of the main obstacles to improving QoS is congestion at network nodes. It is believe that bandwidth prediction is a key component to reducing congestion and thereby the improvement of QoS. This work proposes an effective bandwidth management approach based on the discrete wavelet transform (DWT). The approach hinges on the results of recent studies showing that while network traffic consists of both long- and short-term dependence, its wavelet coefficients are short-term dependent only. The DWT decomposes the traffic into a low-frequency component and high frequency components. The low- frequency component of the traffic, are significant for long-term traffic behavior and, hence, for bandwidth allocation. The high-frequency components are significant in the short-term behavior of the traffic and, hence, for buffer-allocation.

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Présentation de l'éditeur

In recent years, growing processing power and bandwidth have stimulated a new breed of network applications requiring the development of more sophisticated traffic management algorithms to meet their stringent QoS needs. One of the main obstacles to improving QoS is congestion at network nodes. It is believe that bandwidth prediction is a key component to reducing congestion and thereby the improvement of QoS. This work proposes an effective bandwidth management approach based on the discrete wavelet transform (DWT). The approach hinges on the results of recent studies showing that while network traffic consists of both long- and short-term dependence, its wavelet coefficients are short-term dependent only. The DWT decomposes the traffic into a low-frequency component and high frequency components. The low- frequency component of the traffic, are significant for long-term traffic behavior and, hence, for bandwidth allocation. The high-frequency components are significant in the short-term behavior of the traffic and, hence, for buffer-allocation.

Biographie de l'auteur

Claude Turner is an Assistant Professor with the Dept. of Computer Science at Bowie State University in Maryland. He earned his Doctoral degree in Electrical Engineering from the Graduate Center of the City University of New York. His research interests include Bandwidth Management, Network Engineering, and Computer Security.

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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838314905
ISBN 13 
9783838314907
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
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