Shaping the Future of IoT with Edge Intelligence
How Edge Computing Enables the Next Generation of IoT Applications
River Publishers Series in Communications and Networking
Editors:
Rute C. Sofia, fortiss GmbH, Germany
John Soldatos, Netcompany-Intrasoft, Luxembourg
ISBN: 9788770040273 (Paperback) e-ISBN: 9788770040266
This book presents the technologies that empower edge intelligence, along with their use in novel IoT solutions. Specifically, it presents how 5G/6G, Edge AI, and Blockchain solutions enable novel IoT-based decentralized intelligence use cases at the edge of the cloud/edge/IoT continuum. Emphasis is placed on presenting how these technologies support a wide array of functional and non-functional requirements spanning latency, performance, cybersecurity, data protection, real-time performance, energy efficiency, and more. The various chapters of the book are contributed by several EU-funded projects, which have recently developed novel IoT platforms that enable the development and deployment of edge intelligence applications based on the cloud/edge paradigm. Each one of the projects employs its own approach and uses a different mix of networking, middleware, and IoT technologies. Therefore, each of the chapters of the book contributes a unique perspective on the capabilities of enabling technologies and their integration in practical real-life applications in different sectors. The book is structured in five distinct parts. Each one of the first four parts focuses on a specific set of enabling technologies for edge intelligence and smart IoT applications in the cloud/edge/IoT continuum. Furthermore, the fifth part provides information about complementary aspects of next-generation IoT technology, including information about business models and IoT skills. Specifically:
A Scalable, Heterogeneous Hardware
Platform for Accelerated AIoT based on
Microservers
by R. Griessl, F. Porrmann, N. Kucza, K. Mika, J. Hagemeyer,
M. Kaiser, M. Porrmann, M. Tassemeier, M. Flottmann,
F. Qararyah, M. Waqar, P. Trancoso, D. Ödman, K. Gugala,
and G. Latosinski