Cooperative and Distributed Intelligent Computation in Fog Computing

Zusatztext

This informative text/reference presents a detailed review of the state of the art in fog computing paradigm. In particular, the book examines a broad range of important cooperative and distributed computation algorithms, along with their design objectives and technical challenges. The coverage includes the conceptual fundamental of fog computing, its practical applications, cooperative and distributed computation algorithms using optimization, swarm intelligence, matching theory, and reinforcement learning methods. Discussions are also provided on remaining challenges and open research issues for designing and developing the efficient distributed computation solutions in the next-generation of fog-enabled IoT systems.

Autorenportrait

Dr. Hoa Tran-Dang is research professor, working in the ICT-Convergence research center, in the department of IT convergence engineering at Kumoh National Institute of Technology (KIT). His research interests include Fog/Edge computing, Wireless Communication Networks, Resource Optimization, Machine Learning, and AI. Prof. DongSeong Kim is Director of Networked System Laboratory/ICTConvergence Research Center (ITRC program), supported by the Korean government, at Kumoh National Institute of Technology, Gumi, South Korea. He is a senior member of the IEEE, and ACM. His research interests include realtime IoT, industrial wireless control network, networked embedded system and Fieldbus.

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