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
