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Studies in Big Data

Advances in Mobile Cloud Computing and Big Data in the 5G Era

Editors: Mavromoustakis, Constandinos, Mastorakis, George, Dobre, Ciprian (Eds.)

  • 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
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Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-45145-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-45143-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-319-83222-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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.

Table of contents (15 chapters)

  • Handling Big Data in the Era of Internet of Things (IoT)

    Papadokostaki, Koralia (et al.)

    Pages 3-22

  • Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges

    Skourletopoulos, Georgios (et al.)

    Pages 23-41

  • Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future Opportunities

    Skourletopoulos, Georgios (et al.)

    Pages 43-62

  • Heterogeneous Data Access Control Based on Trust and Reputation in Mobile Cloud Computing

    Yan, Zheng (et al.)

    Pages 65-113

  • A Survey on IoT: Architectures, Elements, Applications, QoS, Platforms and Security Concepts

    Marques, Gonçalo (et al.)

    Pages 115-130

Buy this book

eBook $139.00
price for USA in USD (gross)
  • ISBN 978-3-319-45145-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.99
price for USA in USD
  • ISBN 978-3-319-45143-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.99
price for USA in USD
  • ISBN 978-3-319-83222-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Advances in Mobile Cloud Computing and Big Data in the 5G Era
Editors
  • Constandinos Mavromoustakis
  • George Mastorakis
  • Ciprian Dobre
Series Title
Studies in Big Data
Series Volume
22
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-45145-9
DOI
10.1007/978-3-319-45145-9
Hardcover ISBN
978-3-319-45143-5
Softcover ISBN
978-3-319-83222-7
Series ISSN
2197-6503
Edition Number
1
Number of Pages
VIII, 382
Number of Illustrations
22 b/w illustrations, 127 illustrations in colour
Topics