Big Data for Urban Sustainability - Stephen Jia Wang, Patrick Moriarty

Big Data for Urban Sustainability

A Human-Centered Perspective
Buch | Hardcover
XVI, 160 Seiten
2018 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-73608-2 (ISBN)
128,39 inkl. MwSt
lt;p>This book presents a practical framework for the application of big data, cloud, and pervasive and complex systems to sustainable solutions for urban environmental challenges.  It covers the technologies, potential, and possible and impact of big data on energy efficiency and the urban environment.

The book first introduces key aspects of big data, cloud services, pervasive computing, and mobile technologies from a pragmatic design perspective, including sample open source firmware. Cloud services, mobile and embedded platforms, interfaces, operating system design methods, networking, and middleware are all considered. The authors then explore in detail the framework, design principles, architecture and key components of developing energy systems to support sustainable urban environments. The included case study provides a pathway to improve the eco-efficiency of urban transport, demonstrating how to design an energy efficient next generation urban navigation system by leveraging vast cloud data sets on user-behavior. Ultimately, this resource maps big data's pivotal intersection with rapid global urbanization along the path to a sustainable future.

Dr. Stephen Jia Wang (DocFA M.Eng MA BA) works in the Department of Design at Monash University as a

lt;p>Part I Features of Big data Systems.- Big Data Introduction.-Big data Systems landscape/ overview.-  Part II Developing Sustainable Big data systems.- The trends of Big data systems.- Platform Architecture.- Reference Architecture.- ISUNS system design (Case Study).- Part III Future Development to Enhance Eco-efficiency.- Potential Applications for Big data systems.- Performance Evaluation.

Erscheinungsdatum
Zusatzinfo XVI, 160 p. 14 illus., 9 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 422 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte Big data energy applications • energy efficiency • Energy modeling • Pervasive Computing • Sustainable big data • sustainable cities • sustainable development • sustainable urbanism • Sustinable transportation • Urban Development • Urban transport
ISBN-10 3-319-73608-6 / 3319736086
ISBN-13 978-3-319-73608-2 / 9783319736082
Zustand Neuware
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