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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 datäs pivotal intersection with rapid global urbanization along the path to a sustainable future.
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 datäs pivotal intersection with rapid global urbanization along the path to a sustainable future.
Demonstrates how big data empowered by cloud computing provides new possibilities for researchers tackling the grand challenges of sustainable urban development and transportation
Teaches readers how to launch new big data applications in urban sustainability, using successes in retail, telecoms, and banking to develop template patterns and design approaches
Provides the first framework for realizing the opportunities suggested by big data applied to urban sustainability, based on less expensive and heterogeneous infrastructures than those currently available
Transcends the theoretical by including a detailed case study derived from a real-world research project- the ISUNS transportation system in development in China
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.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Kraftwerktechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xvi
160 S. 5 s/w Illustr. 9 farbige Illustr. 160 p. 14 illus. 9 illus. in color. |
ISBN-13: | 9783319736082 |
ISBN-10: | 3319736086 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-73608-2 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Moriarty, Patrick
Wang, Stephen Jia |
Auflage: | 1st ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG |
Maße: | 241 x 160 x 15 mm |
Von/Mit: | Patrick Moriarty (u. a.) |
Erscheinungsdatum: | 05.04.2018 |
Gewicht: | 0,468 kg |
Demonstrates how big data empowered by cloud computing provides new possibilities for researchers tackling the grand challenges of sustainable urban development and transportation
Teaches readers how to launch new big data applications in urban sustainability, using successes in retail, telecoms, and banking to develop template patterns and design approaches
Provides the first framework for realizing the opportunities suggested by big data applied to urban sustainability, based on less expensive and heterogeneous infrastructures than those currently available
Transcends the theoretical by including a detailed case study derived from a real-world research project- the ISUNS transportation system in development in China
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.
Erscheinungsjahr: | 2018 |
---|---|
Fachbereich: | Kraftwerktechnik |
Genre: | Technik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xvi
160 S. 5 s/w Illustr. 9 farbige Illustr. 160 p. 14 illus. 9 illus. in color. |
ISBN-13: | 9783319736082 |
ISBN-10: | 3319736086 |
Sprache: | Englisch |
Herstellernummer: | 978-3-319-73608-2 |
Ausstattung / Beilage: | HC runder Rücken kaschiert |
Einband: | Gebunden |
Autor: |
Moriarty, Patrick
Wang, Stephen Jia |
Auflage: | 1st ed. 2018 |
Hersteller: |
Springer International Publishing
Springer International Publishing AG |
Maße: | 241 x 160 x 15 mm |
Von/Mit: | Patrick Moriarty (u. a.) |
Erscheinungsdatum: | 05.04.2018 |
Gewicht: | 0,468 kg |