Mobile Big Data

A Roadmap from Models to Technologies

  • Georgios Skourletopoulos
  • George Mastorakis
  • Constandinos X. Mavromoustakis
  • Ciprian Dobre
  • Evangelos Pallis

Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 10)

Table of contents

  1. Front Matter
    Pages i-x
  2. Introduction to Mobile Big Data Paradigm

    1. Front Matter
      Pages 1-1
    2. Konstantinos Vassakis, Emmanuel Petrakis, Ioannis Kopanakis
      Pages 3-20
    3. Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, John N. Sahalos et al.
      Pages 41-62
  3. Architectures, Applications and Services for Mobile Big Data

    1. Front Matter
      Pages 63-63
    2. Huber Flores, Vassilis Kostakos, Sasu Tarkoma, Pan Hui, Yong Li
      Pages 65-84
    3. Patrizia Grifoni, Arianna D’Ulizia, Fernando Ferri
      Pages 85-127
    4. Ali Kamouch, Abdelaali Chaoub, Zouhair Guennoun
      Pages 129-143
  4. Data Management for Mobile Big Data

    1. Front Matter
      Pages 145-145
    2. Fabrice Starks, Vera Goebel, Stein Kristiansen, Thomas Plagemann
      Pages 147-180
    3. Chhabi Rani Panigrahi, Rajesh Kumar Verma, Joy Lal Sarkar, Bibudhendu Pati
      Pages 233-256
  5. Industrial Practices of Mobile Big Data-Driven Models

    1. Front Matter
      Pages 257-257
    2. Katerina Tsampi, Spyros Panagiotakis, Elias Hatzakis, Emmanouil Lakiotakis, Georgia Atsali, Kostas Vassilakis et al.
      Pages 289-321
    3. Anil Kumar Malleshappa, Tomayess Issa
      Pages 323-347

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.


Big Data Engineering Mobile Cloud Computing Mobile Big Data Collecting Techniques Engineering the Storage in Mobile Cloud Computing Big Data Storing Methodologies Big Data Distributed Processing

Editors and affiliations

  • Georgios Skourletopoulos
    • 1
  • George Mastorakis
    • 2
  • Constandinos X. Mavromoustakis
    • 3
  • Ciprian Dobre
    • 4
  • Evangelos Pallis
    • 5
  1. 1.Department of Computer ScienceUniversity of NicosiaNicosiaCyprus
  2. 2.Department of Business AdministrationTechnological Educational Institute CreteAgios NikolaosGreece
  3. 3.Department of Computer ScienceUniversity of NicosiaNicosiaCyprus
  4. 4.Department of Computer Science and EngineeringUniversity Politehnica of BucharestBucharestRomania
  5. 5.Department of Informatics EngineeringTechnological Educational Institute of CreteCreteGreece

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-67924-2
  • Online ISBN 978-3-319-67925-9
  • Series Print ISSN 2367-4512
  • Series Online ISSN 2367-4520
  • Buy this book on publisher's site
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