Editors:
- Provides a state-of-the-art reference guide, discussing the progress made, as well as outlining future directions for the theories, practices, standards, and strategies related to the mobile big data domain
- Targets methodologies designed to take mobile big data to the Cloud, and to enable processing real-time streaming of events on-the-move
- Discusses methods and practices to improve multisource big data collection techniques, as well as the integration of resource availability through the 3As (Anywhere, Anything, Anytime) paradigm
- Covers central issues related to big data from the perspective of mobility and engineering
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 10)
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Table of contents (13 chapters)
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Front Matter
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Architectures, Applications and Services for Mobile Big Data
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Front Matter
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Data Management for Mobile Big Data
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Front Matter
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Industrial Practices of Mobile Big Data-Driven Models
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Front Matter
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About this book
This book reports on the latest advances in mobile technologies for collecting, storing and processing mobile big data in connection with wireless communications. It presents novel approaches and applications in which mobile big data is being applied from an engineering standpoint and addresses future theoretical and practical challenges related to the big data field from a mobility perspective.
Further, it provides an overview of new methodologies designed to take mobile big data to the Cloud, enable the processing of real-time streaming events on-the-move and enhance the integration of resource availability through the ‘Anywhere, Anything, Anytime’ paradigm. By providing both academia and industry researchers and professionals with a timely snapshot of emerging mobile big data-centric systems and highlighting related pitfalls, as well as potential solutions, the book fills an important gap in the literature and fosters the further development in the area of mobile technologies for exploiting mobile big data.
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Editors and Affiliations
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Department of Computer Science, University of Nicosia, Nicosia, Cyprus
Georgios Skourletopoulos, Constandinos X. Mavromoustakis
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Department of Business Administration, Technological Educational Institute Crete, Agios Nikolaos, Greece
George Mastorakis
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Department of Computer Science and Engineering, University Politehnica of Bucharest, Bucharest, Romania
Ciprian Dobre
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Department of Informatics Engineering, Technological Educational Institute of Crete, Crete, Greece
Evangelos Pallis
Bibliographic Information
Book Title: Mobile Big Data
Book Subtitle: A Roadmap from Models to Technologies
Editors: Georgios Skourletopoulos, George Mastorakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Evangelos Pallis
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-3-319-67925-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Softcover ISBN: 978-3-319-67924-2Published: 01 November 2017
eBook ISBN: 978-3-319-67925-9Published: 31 October 2017
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: X, 347
Number of Illustrations: 33 b/w illustrations, 55 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence