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Cooperative and Distributed Intelligent Computation in Fog Computing

Concepts, Architectures, and Frameworks

Dong-Seong Kim, Hoa Tran-Dang

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Springer Nature Switzerland img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Datenkommunikation, Netzwerke

Beschreibung

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.

 


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Schlagwörter

Full offloading, Fog computing, Edge computing, Task Partition, IoT, Partial Offloading, Task Offloading, Distributed and Parallel Computation, Resource Allocation, Matching Theory, Bandit Learning, Resource Management, Reinforcement Learning