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Discover this multi-disciplinary and insightful work, which integrates machine learning, edge computing, and big data. Presents the basics of training machine learning models, key challenges and issues, as well as comprehensive techniques including edge learning algorithms, and system design issues. Describes architectures, frameworks, and key technologies for learning performance, security, and privacy, as well as incentive issues in training/inference at the network edge. Intended to stimulate fruitful discussions, inspire further research ideas, and inform readers from both academia and industry backgrounds. Essential reading for experienced researchers and developers, or for those who are just entering the field.
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OpenFog Consortium--OpenFog Reference Architecture for Fog Computing is adopted by this standard. OpenFog Reference Architecture [OPFRA001.020817] is a structural and functional prescription of an open, interoperable, horizontal system architecture for distributing computing, storage, control and networking functions closer to the users along a cloud-to-thing continuum of communicating, computing, sensing and actuating entities. It encompasses various approaches to disperse Information Technology (IT), Communication Technology (CT) and Operational Technology (OT) Services through information messaging infrastructure as well as legacy and emerging multi-access networking technologies.
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The textbook covers the main aspects of Edge Computing, from a thorough look at the technology to the standards and industry associations working in the field. The book is conceived as a textbook for graduate students but also functions as a working guide for developers, engineers, and researchers. The book aims not only at providing a comprehensive technology and standard reference overview for students, but also useful research insights and practical exercises for edge software developers and investigators in the area (and for students looking to apply their skills). A particular emphasis is given Multi-access Edge Computing (MEC) as defined in European Telecommunications Standards Institute (ETSI), in relationship with other standard organizations like 3GPP, thus in alignment with the recent industry efforts to produce harmonized standards for edge computing leveraging both ETSI ISG MEC and 3GPP specifications. Practical examples of Edge Computing implementation from industry groups, associations, companies and edge developers, complete the book and make it useful for students entering the field. The book includes exercises, examples, and quizzes throughout.
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Real-Time Operations Facilitations or ROOF is a class of computational framework for Edge Computing with Internet of Things (IoT). The ROOF framework provides support for building scalable, secure, and robust Internet of Things applications with limited tools in resource constrained situations. The ROOF helps in developing federated architecture for large scale IoT operations. At the same time, it can provide micro-models for rapid prototyping and quick decision making. It also provides autonomic architectural support for spatio-temporal events handling. The ROOF framework has been designed to provide innovation, reuse, better user experience, security by design, for harmonizing horizontal as well as vertical integration for the Internet of Things ecosystem.
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5G and related digital revolutions will require tens of thousands of edge data centers. This book tells you how they work and how to get them built. We are in the middle of the edge computing revolution. Responding to demand for lower latency, telcos and others are moving servers and storage closer to end users--away from the "core" to "the edge." This requires the deployment of many thousands of tiny edge data centers. The edge is a big, growing business. Driven by 5G, connected vehicles, and industrial automation, the "edge economy" is projected to reach $4.1 trillion by 2030, with investment in edge data centers set to exceed $140 billion by 2028. What exactly is an edge data center? This book explains what they are and how they work. It's early in the edge computing life cycle, so there's time to get prepared for what's coming. If you work in an industry that's transforming through mobility, or any field that will leverage the edge for competitive advantage, this book will help you understand how the edge data center advances your strategic agenda.
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"This book is intended to provide the reader with a thorough understanding of the growth in internet infrastructure since its inception, through to the emerging set of technologies known as infrastructure edge computing which progress this trend to its next generation. Infrastructure edge computing is the term coined by the author (and now accepted by the Linux Foundation and their LF Edge group, as well as much of the industry) for a model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to provide users with superior performance than is achievable today, to enable a range of new use cases in an economical fashion. These use cases include 5G (Fifth Generation) mobile cellular networks, city-scale AI (Artificial Intelligence) systems which can help us work and play more effectively by automating many time-consuming tasks, and cyber-physical systems such as self-driving cars, drones and industrial robotics systems to save time, save money and improve safety. To provide the reader with a full understanding of the subject, the book will cover several topics from today?s state of the art to how the infrastructure edge computing model alters that to the key technologies underpinning its deployment and operation, through to the use cases which it will support that are impractical or impossible on current infrastructure. The end result is to provide the reader with a thorough, accessible and accurate understanding of the next generation of internet infrastructure as a whole"--
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