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

Claude Turner

ISBN 10: 3838314905 / ISBN 13: 9783838314907

Published by LAP LAMBERT Academic Publishing, 2009

About this Item

Multiresolution Analysis for Effective Dynamic Bandwidth Management | Using Wavelets and Traffic Prediction to Meet Quality of Service Needs of Network Applications | Claude Turner | Taschenbuch | 116 S. | Englisch | 2009 | LAP LAMBERT Academic Publishing | EAN 9783838314907 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101444783

Bibliographic Details

• Title: Multiresolution Analysis for Effective Dynamic Bandwidth Management | Using Wavelets and Traffic Prediction to Meet Quality of Service Needs of Network Applications
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2009
• Language: English
• ISBN 10: 3838314905
• ISBN 13: 9783838314907
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 191 grams
• Seller catalogs:
  • Bücher

About this title

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.

About the Author

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.