Lecture Notes on Data Engineering and Communications Technologies

Mobile Big Data

A Roadmap from Models to Technologies

Editors: Skourletopoulos, G., Mastorakis, G., Mavromoustakis, C., Dobre, C., Pallis, E. (Eds.)

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  • 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
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eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-67925-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-67924-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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.

Table of contents (13 chapters)

Table of contents (13 chapters)
  • Big Data Analytics: Applications, Prospects and Challenges

    Vassakis, Konstantinos (et al.)

    Pages 3-20

  • Levering Mobile Cloud Computing for Mobile Big Data Analytics

    Liu, Yongxin (et al.)

    Pages 21-39

  • Game Theoretic Approaches in Mobile Cloud Computing Systems for Big Data Applications: A Systematic Literature Review

    Skourletopoulos, Georgios (et al.)

    Pages 41-62

  • Evidence-Aware Mobile Cloud Architectures

    Flores, Huber (et al.)

    Pages 65-84

  • Context-Awareness in Location Based Services in the Big Data Era

    Grifoni, Patrizia (et al.)

    Pages 85-127

Buy this book

eBook 118,99 €
price for Spain (gross)
  • ISBN 978-3-319-67925-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 145,59 €
price for Spain (gross)
  • ISBN 978-3-319-67924-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Mobile Big Data
Book Subtitle
A Roadmap from Models to Technologies
Editors
  • Georgios Skourletopoulos
  • George Mastorakis
  • Constandinos Mavromoustakis
  • Ciprian Dobre
  • Evangelos Pallis
Series Title
Lecture Notes on Data Engineering and Communications Technologies
Series Volume
10
Copyright
2018
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-67925-9
DOI
10.1007/978-3-319-67925-9
Softcover ISBN
978-3-319-67924-2
Series ISSN
2367-4512
Edition Number
1
Number of Pages
X, 347
Number of Illustrations
33 b/w illustrations, 55 illustrations in colour
Topics