
Knowledge Dissemination for Multimedia Traffic
ISTE Press - Elsevier
Published on 1. January 2025
Book
Hardback
140 pages
978-1-78548-090-4 (ISBN)
Description
Knowledge Dissemination for Multimedia Traffic presents a clear demonstration of the importance of developed algorithms in terms of access time, distribution, and load sharing between the control nodes for knowledge management, complete with a platform tested on decentralized control of software-defined networks.
The extensive growth in Internet traffic, the emergence of new multimedia applications, and the development of new underlying applications has induced many changes in the use of information technology in everyday life. This new evolving trend requires us to rethink the foundation of the network architecture itself, which has resulted in the emergence of new concepts based on a user-centric'' view, instead of a network-centric'' view.
Control mechanisms in the network transmission must not only exploit information on data control and management planes, but also consider the knowledge acquired or learned by inductive or deductive inference on the current state of the network (traffic, resources, the rendering of the application) in order to accelerate the decision-making process by the network's control elements.
This book specifically addresses the concept of a system's dissemination of knowledge across autonomic networks. The authors present the foundations and implementation methods for the management, distribution, and exploitation of the knowledge required for the proper functioning of the transmission in the network.
The extensive growth in Internet traffic, the emergence of new multimedia applications, and the development of new underlying applications has induced many changes in the use of information technology in everyday life. This new evolving trend requires us to rethink the foundation of the network architecture itself, which has resulted in the emergence of new concepts based on a user-centric'' view, instead of a network-centric'' view.
Control mechanisms in the network transmission must not only exploit information on data control and management planes, but also consider the knowledge acquired or learned by inductive or deductive inference on the current state of the network (traffic, resources, the rendering of the application) in order to accelerate the decision-making process by the network's control elements.
This book specifically addresses the concept of a system's dissemination of knowledge across autonomic networks. The authors present the foundations and implementation methods for the management, distribution, and exploitation of the knowledge required for the proper functioning of the transmission in the network.
More details
Language
English
Place of publication
United Kingdom
Target group
Professional and scholarly
All scientific, and engineering communities interested in the concepts of user centric networks, autonomic networks, knowledge management and context-enhanced knowledge.
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-1-78548-090-4 (9781785480904)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Sami Souihi received his MSc degree from the University of Paris 6, France in 2010, and his PhD from University Paris-Est Creteil (UPEC) in 2013. His research work focuses on adaptive mechanisms in large-dynamic-scale networks. These mechanisms are based on context-enhanced knowledge. Said Hoceini received his MSc degree from University Houari Boumediene Algiers Algeria in 1997, his PHD degree from Paris-Est University (UPEC) in 2004. his general area of research is in high-speed new generation wired/wireless networking and quality of service. Currently, he is working on routing and switching optimization in dynamic traffic networks, QoS, QoE in Content Distribution Network. Abdelhamid Mellouk is a permanent Full Professor at the University of Paris-Est Creteil (UPEC), France. Head of several executive national and international positions, he has held several leadership offices in IEEE Communications Society Technical Committees and has published/coordinated more than ten books in addition to numerous keynotes and plenary talks in flagship venues.
Author
Associate Professor of Computer Science, Networks and Telecommunication (N&T) Department, Paris-Est University, France
Associate Professor of Computer Science, Networks and Telecommunication (N&T) Department, Paris-Est University, France
University of Paris-Est Creteil (UPEC), France
Content
1. Introduction
2. Autonomic Network
3. Knowledge plane and context-enhanced knowledge
4. The Knowledge dissemination approach
5. Application to decentralized software-defined network control
2. Autonomic Network
3. Knowledge plane and context-enhanced knowledge
4. The Knowledge dissemination approach
5. Application to decentralized software-defined network control