The Internet of Things in the Cloud: A Middleware Perspective
Autor Honbo Zhouen Limba Engleză Hardback – 29 oct 2012
It gives you a panoramic view of the IoT landscape—focusing on the overall technological architecture and design of a tentatively unified IoT framework underpinned by Cloud computing from a middleware perspective. Organized into three sections, it:
- Describes the many facets of Internet of Things—including the four pillars of IoT and the three layer value chain of IoT
- Focuses on middleware, the glue and building blocks of a holistic IoT system on every layer of the architecture
- Explores Cloud computing and IoT as well as their synergy based on the common background of distributed processing
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Specificații
ISBN-13: 9781439892992
ISBN-10: 1439892997
Pagini: 392
Ilustrații: 107 b/w images and 17 tables
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.66 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1439892997
Pagini: 392
Ilustrații: 107 b/w images and 17 tables
Dimensiuni: 156 x 234 x 23 mm
Greutate: 0.66 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Cuprins
THE INTERNET OF THINGS. The Third ICT Wave. Ubiquitous IoT Applications. Four Pillars of IoT. The DNA of IoT. MIDDLEWARE FOR IoT. Middleware and IoT. Protocol Standards for IoT. Architecture Standardization for WoT. THE CLOUD OF THINGS. Cloud Computing. The Cloud of Things.
Recenzii
This book brings together timely, mind provoking, and comprehensive materials to give you a better understanding of the IoT/M2M technological and business landscape on top of Cloud computing … . I also believe this book, which I highly recommend, is the first on the market that covers almost all of the related subjects.
—George (Aiping) Guo, Ph.D., CEO of TCL Communication Technology Holdings Ltd.
—George (Aiping) Guo, Ph.D., CEO of TCL Communication Technology Holdings Ltd.
Notă biografică
Honbo Zhou, Ph.D., is currently the general manager of Foton Fleet Telematics Co. Ltd. He was chief software scientist of TongFang Co. Ltd., executive director of the board and chief technology officer of Technovator Pte. Ltd., and chief operating officer of TongFang Software Co. Ltd. Dr. Zhou worked as a research associate on grid computing at Oak Ridge National Laboratory after receiving his Ph.D. in computer science from the University of Zurich in 1993. He also worked at IBM, BEA Systems (now Oracle), and other companies in the United States as a senior engineer or manager. He participated in the ASCI Blue Pacific project building the world’s fastest supercomputer in 1996 while at IBM as a software team lead and coordinator for its job scheduler. He masterminded and built a high-performance/cloud-computing system that accomplished the complete annotation of the human genome for the first time in the world while working at a startup in Silicon Valley, which was reported by media such as the San Francisco Chronicle and CNN. He has been one of the pioneers of the Internet of Things and machine-to- machine computing, leading a team of 100-plus developers to build TongFang’s flagship ezM2M Middleware Platform for dozens of vertical IoT applications since 2003, and he has authored two related books in Chinese. He is a frequently invited speaker and evangelist of IoT and cloud computing, adjunct professor of several universities, and vice president of the Middleware Association, and he is a member of a few other related professional associations in China.
Descriere
This book provides a panoramic view of the IoT landscape, focusing on the overall technological architecture and design of a tentatively unified IoT system underpinned by different cloud computing paradigms from a middleware perspective. It is based on the author’s two previous bestselling books (in Chinese) on IoT and cloud computing and decades of software/middleware programming and architecting experience. The first part of the book describes IoT, related concepts, and a number of key vertical IoT applications. The second part focuses on middleware. The third part covers cloud computing and IoT as well as their synergy based on the common background of distributed processing.