Editors:
- Recent research in Big Data and Internet of Things
- First edited book focusing on the problems related to Big Data in support for intelligent computation, context awareness and Internet of Things
- Written by experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 546)
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Table of contents (19 chapters)
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Front Matter
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Foundations and Principles
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Front Matter
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Advanced Models and Architectures
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Front Matter
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Advanced Applications and Future Trends
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Front Matter
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About this book
This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that are related to the emerging computational technologies and their association with supporting the Internet of Things advanced functioning for organizational settings including both business and e-science. Apart from inter-operable and inter-cooperative aspects, the book deals with a notable opportunity namely, the current trend in which a collectively shared and generated content is emerged from Internet end-users. Specifically, the book presents advances on managing and exploiting the vast size of data generated from within the smart environment (i.e. smart cities) towards an integrated, collective intelligence approach. The book also presents methods and practices to improve large storage infrastructures in response to increasing demands of the data intensive applications. The book contains 19 self-contained chapters that were very carefully selected based on peer review by at least two expert and independent reviewers and is organized into the three sections reflecting the general themes of interest to the IoT and Big Data communities:
Section I: Foundations and Principles
Section II: Advanced Models and Architectures
Section III: Advanced Applications and Future Trends
The book is intended for researchers interested in joining interdisciplinary and transdisciplinary works in the areas of Smart Environments, Internet of Things and various computational technologies for the purpose of an integrated collective computational intelligence approach into the Big Data era.
Reviews
From the book reviews:
“This broad-ranging collection deals with many aspects of smart environments and the relevant data collection and processing problems. … this wide-ranging and informative collection should provide a decent introduction to the current state of smart environments and IoT for interested students, researchers, and practitioners.” (R. M. Malyankar, Computing Reviews, June, 2014)
Editors and Affiliations
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School of Computer Science and Mathematics, University of Derby, Derby, United Kingdom
Nik Bessis
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Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania
Ciprian Dobre
Bibliographic Information
Book Title: Big Data and Internet of Things: A Roadmap for Smart Environments
Editors: Nik Bessis, Ciprian Dobre
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-319-05029-4
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-05028-7Published: 27 March 2014
Softcover ISBN: 978-3-319-34481-2Published: 03 September 2016
eBook ISBN: 978-3-319-05029-4Published: 11 March 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XIX, 470
Number of Illustrations: 169 b/w illustrations