Internet of Things Concepts and Systems Design
- Cham, Switzerland : Springer, c2020
- XII, 306 p. : ill
About the author Milan Milenkovic is a founder of IoTsense LLC, an IoT technology development and strategy consultancy in the San Francisco Bay Area. As a principal engineer in Intel Labs and in IoT Business Unit he led a number of projects involving IoT system architecture and implementation, smart buildings and energy management, cloud and grid computing. Prior to Intel, he worked at IBM Company and in academia conducting research and leading prototyping of a variety of emerging technology projects.
Milan Milenkovic earned M.Sc. degree in Computer Science from Georgia Institute of Technology and a Ph.D. in Electrical and Computer Engineering from the University of Massachusetts at Amherst. He has given invited talks at academic and industrial conferences and has authored a number of journal and conference papers, industry technical reports, standards, and U.S. and international patents. He is the author of the textbook Operating Systems: Concepts and Design (McGraw-Hill), a monograph on distributed database systems, and an IEEE tutorial on multimedia systems. He is a Fulbright Scholar, an ACM Distinguished Engineer and a Senior Member of IEEE.
Includes Bibliographical References and Index
SUMMARY: This comprehensive overview of IoT systems architecture includes in-depth treatment of all key components: edge, communications, cloud, data processing, security, management, and uses. Internet of Things: Concepts and System Design provides a reference and foundation for students and practitioners that they can build upon to design IoT systems and to understand how the specific parts they are working on fit into and interact with the rest of the system. This is especially important since IoT is a multidisciplinary area that requires diverse skills and knowledge including: sensors, embedded systems, real-time systems, control systems, communications, protocols, Internet, cloud computing, large-scale distributed processing and storage systems, AI and ML, (preferably) coupled with domain experience in the area where it is to be applied, such as building or manufacturing automation.
Written in a reader-minded approach that starts by describing the problem (why should I care?), placing it in context (what does this do and where/how does it fit in the great scheme of things?) and then describing salient features of solutions (how does it work?), this book covers the existing body of knowledge and design practices, but also offers the author’s insights and articulation of common attributes and salient features of solutions such as IoT information modeling and platform characteristics.
9783030413484
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