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Fog Computing and Fogonomics

Yang Yang (ShanghaiTech University), Jianwei Huang (Chinese University of Hong Kong, Shenzhen), Tao Zhang (National Institute of Standards and Technology), Joe Weinman

DOI: 10.1002/9781119501121.ch1 (Computer Science)
License: not stated (all rights reserved)

Abstract: This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book provides a state-of-the-art review and analysis of key opportunities and challenges of fog computing in different application scenarios and business models. It presents an architectural solution called Fog-to-Cloud as a candidate to efficiently manage the set of resources in the Internet of Things-fog-cloud stack. Such an architectural solution is conceptually supported by a service and technology agnostic software solution. The book analyzes main challenges for building a stable, scalable, and optimized solution, from both the resource and service perspectives, with special attention to how data must be managed. It also analyzes the design challenges of incentive mechanisms for encouraging user engagements in user-provided infrastructures. The book summarizes all up-to-date research contributions and outlines future research directions that researcher can follow in order to address different security and privacy preservation challenges in fog computing.

Published on 03 Feb. 2020