Overview
- First book that comprehensively covers topics from the Mobile Cloud Computing paradigm and Big Data under the perspective of the 5G wireless technologies
- Describes methodologies to take Big Data to the Cloud and the Mobile Cloud
- 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 Mobile Cloud computing and Big Data and their association with the emerging 5G mobile networks
- Discusses methods and practices to improve multi-source Big Data collecting techniques as well as the integration of resources’ availability through the 3As (Anywhere, Anything, Anytime) paradigm
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 22)
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About this book
This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.
The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.
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Keywords
Table of contents (15 chapters)
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Introduction and Applications of MCC and Big Data Paradigm in 5G Access
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Architectures of MCC and Big Data Paradigm
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MCC and Big Data Paradigm in Smart Ambient Systems
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MCC and Big Data Control and Data Management
Editors and Affiliations
Bibliographic Information
Book Title: Advances in Mobile Cloud Computing and Big Data in the 5G Era
Editors: Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-45145-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-45143-5Published: 25 November 2016
Softcover ISBN: 978-3-319-83222-7Published: 28 June 2018
eBook ISBN: 978-3-319-45145-9Published: 19 November 2016
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: VIII, 382
Number of Illustrations: 22 b/w illustrations, 127 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Communications Engineering, Networks, Data Mining and Knowledge Discovery