Sami Souihi – författare

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.

This book reviews the concept of Software-Defined Networking (SDN) by studying the SDN architecture. It provides a detailed analysis of state-of-the-art distributed SDN controller platforms by assessing their advantages and drawbacks and classifying them in novel ways according to various criteria.Additionally, a thorough examination of the major challenges of existing distributed SDN controllers is provided along with insights into emerging and future trends in that area. Decentralization challenges in large-scale networks are tackled using three novel approaches, applied to the SDN control plane presented in the book. The first approach addresses the SDN controller placement optimization problem in large-scale IoT-like networks by proposing novel scalability and reliability aware controller placement strategies. The second and third approaches tackle the knowledge sharing problem between the distributed controllers by suggesting adaptive multilevel consistency models following the concept of continuous Quorum-based consistency. These approaches have been validated using different SDN applications, developed from real-world SDN controllers.