Houmkozlis / Rovithakis End to End Adaptive Congestion Control in TCP/IP Networks

Erscheinungsjahr 2012
ISBN: 978-1-4398-4058-0
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 332 Seiten

Reihe: Automation and Control Engineering

This book provides an adaptive control theory perspective on designing congestion controls for packet-switching networks. Relevant to a wide range of disciplines and industries, including the music industry, computers, image trading, and virtual groups, the text extensively discusses source oriented, or end-to-end, congestion control algorithms. The book empowers readers with clear understanding of the characteristics of packet-switching networks and their effects on system stability and performance. It provides schemes capable of controlling congestion and fairness and presents real-world applications to demonstrate the modeling and control techniques.

Autoren/Hrsg.

Houmkozlis, Christos N.

Rovithakis, George A.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerkmanagement

Inhaltsverzeichnis

Introduction
Performance Characteristics
Congestion Control for Best Effort: Internet
End-to-End Congestion Control - A Systems Theory Perspective
Adaptive Control Framework Description: NNRC
NNRC Rate Controller Design
NNRC Fairness Guarantees
NNRC Performance Evaluation
Future Directions
Appendix A: Congestion Control Algorithms
Appendix B: Neural Networks
Appendix C: Dynamical Systems and Stability
References
Index

Über Autor(innen)

Christos N. Houmkozlis is currently in the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His research interests include nonlinear systems, robust adaptive control, modeling and control of communications networks, control over heterogeneous networks, resource management, and pricing in networks.

George A. Rovithakis is Associate Professor in the Department of Electrical and Computer Engineering at Aristotle University of Thessaloniki. His research interests include nonlinear robust adaptive control, neural networks for identification, control of uncertain systems, and control issues arising in computer networks.