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

  • Book
  • © 2017

Overview

Editors:
  1. Constandinos X. Mavromoustakis

    1. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

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  2. George Mastorakis

    1. Department of Commerce and Marketing, Technological Educational Institute Crete, Crete, Greece

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    You can also search for this editor in PubMed   Google Scholar

  3. Ciprian Dobre

    1. Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

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    You can also search for this editor in PubMed   Google Scholar

  • 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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Table of contents (15 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction and Applications of MCC and Big Data Paradigm in 5G Access

    1. Front Matter

      Pages 1-1
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    2. Handling Big Data in the Era of Internet of Things (IoT)

      • Koralia Papadokostaki, George Mastorakis, Spyros Panagiotakis, Constandinos X. Mavromoustakis, Ciprian Dobre, Jordi Mongay Batalla
      Pages 3-22

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

      • Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, Spyros Panagiotakis et al.
      Pages 23-41

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

      • Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, Spyros Panagiotakis et al.
      Pages 43-62

  3. Architectures of MCC and Big Data Paradigm

    1. Front Matter

      Pages 63-63
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    2. Heterogeneous Data Access Control Based on Trust and Reputation in Mobile Cloud Computing

      • Zheng Yan, Xueyun Li, Raimo Kantola
      Pages 65-113

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

      • Gonçalo Marques, Nuno Garcia, Nuno Pombo
      Pages 115-130

  4. MCC and Big Data Paradigm in Smart Ambient Systems

    1. Front Matter

      Pages 131-131
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    2. The Art of Advanced Healthcare Applications in Big Data and IoT Systems

      • Claudia Ifrim, Andreea-Mihaela Pintilie, Elena Apostol, Ciprian Dobre, Florin Pop
      Pages 133-149

    3. A Smart Vision with the 5G Era and Big Data—Next Edge in Connecting World

      • Lokesh Kumar Gahlot, Pooja Khurana, Yasha Hasija
      Pages 151-170

    4. Towards a Cloud-Native Radio Access Network

      • Navid Nikaein, Eryk Schiller, Romain Favraud, Raymond Knopp, Islam Alyafawi, Torsten Braun
      Pages 171-202

    5. Smart City Surveillance in Fog Computing

      • Ning Chen, Yu Chen, Xinyue Ye, Haibin Ling, Sejun Song, Chin-Tser Huang
      Pages 203-226

  5. MCC and Big Data Control and Data Management

    1. Front Matter

      Pages 227-227
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    2. Secure Opportunistic Vehicle-to-Vehicle Communication

      • Alexandra-Elena Mihaita, Ciprian Dobre, Florin Pop, Constandinos X. Mavromoustakis, George Mastorakis
      Pages 229-268

    3. Concurrency Control for Mobile Collaborative Applications in Cloud Environments

      • Moulay Driss Mechaoui, Abdessamad Imine
      Pages 269-288

    4. Resource Management Supporting Big Data for Real-Time Applications in the 5G Era

      • Konstantinos Katzis, Christodoulos Efstathiades
      Pages 289-307

    5. Smartphone-Based Telematics for Usage Based Insurance

      • Prokopis Vavouranakis, Spyros Panagiotakis, George Mastorakis, Constandinos X. Mavromoustakis
      Pages 309-339

    6. Collaborative Media Delivery in 5G Mobile Cloud Networks

      • Piotr Krawiec, Jordi Mongay Batalla, Joachim Bruneau-Queyreix, Daniel Negru, George Mastorakis, Constandinos X. Mavromoustakis
      Pages 341-360

    7. Online Music Application with Recommendation System

      • Iulia Paraicu, Ciprian Dobre
      Pages 361-382
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Keywords

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.

Editors and Affiliations

  • Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Constandinos X. Mavromoustakis

  • Department of Commerce and Marketing, Technological Educational Institute Crete, Crete, Greece

    George Mastorakis

  • Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

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

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