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Knowledge Dissemination for Multimedia Traffic

  • ID: 3642573
  • Book
  • 140 Pages
  • Elsevier Science and Technology
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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.

- Focuses on the knowledge management that is essential to autonomic networks and multimedia applications
- Describes a new concept of context-enhanced knowledge based on multimedia metrics
- Explains how to design and implement a new efficient approach to disseminate learned knowledge across a network with limited cost
- Includes foundations and implementation methods for the management, distribution, and exploitation of knowledge required for the proper functioning of transmission in a network
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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
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Souihi, Sami
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.
Hoceini, Said
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.
Mellouk, Abdelhamid
Abdelhamid Mellouk received his Ing. degree in 1989 and graduated in Computer Network Engineering from the University of Paris Sud XI Orsay (with distinction), received his Ph.D. in informatics Engineering from the same university and the Doctorat of Sciences (Habilitation) Diploma from the Paris-Est University (UPEC).
The founder of Network research activity, his general area of research is in high-speed new generation wired/wireless networking and quality of service.
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