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Advances in Mobile Cloud Computing and Big Data in the 5G Era Studies in Big Data Studies in Big Data 22 Constandinos X. Mavromoustakis George Mastorakis Ciprian Dobre Editors Advances in Mobile Cloud Computing and Big Data in the 5G Era Studies in Big Data Volume 22 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: [email protected] About this Series The series “Studies in Big Data” (SBD) publishes new developments and advances in the various areas of Big Data-quickly and with a high quality. The intent is to cover the theory, research, development, and applications of Big Data, as embedded in the fields of engineering, computer science, physics, economics and life sciences. The books of the series refer to the analysis and understanding of large, complex, and/or distributed data sets generated from recent digital sources coming from sensors or other physical instruments as well as simulations, crowd sourcing, social networks or other internet transactions, such as emails or video click streams and other. The series contains monographs, lecture notes and edited volumes in Big Data spanning the areas of computational intelligence incl. neural networks, evolutionary computation, soft computing, fuzzy systems, as well as artificial intelligence, data mining, modern statistics and Operations research, as well as self-organizing systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. More information about this series at http://www.springer.com/series/11970 Constandinos X. Mavromoustakis George Mastorakis ⋅ Ciprian Dobre Editors Advances in Mobile Cloud Computing and Big Data in the 5G Era 123 Editors Constandinos X. Mavromoustakis Ciprian Dobre Department of Computer Science Department of Computer Science University of Nicosia University Politehnica of Bucharest Nicosia Bucharest Cyprus Romania George Mastorakis Department of Commerce and Marketing Technological Educational Institute of Crete Crete Greece ISSN 2197-6503 ISSN 2197-6511 (electronic) Studies in Big Data ISBN 978-3-319-45143-5 ISBN 978-3-319-45145-9 (eBook) DOI 10.1007/978-3-319-45145-9 Library of Congress Control Number: 2016950383 © Springer International Publishing Switzerland 2017 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland To my wife Afrodyte for her continuous love, patience and support. —Constandinos X. Mavromoustakis To my wife Athina for her constant support and love. —George Mastorakis Special thanks go to my family, my daughter Anamaria Raluca and my wife Iulia Raluca, for their unconditional support, understanding and patience. —Ciprian Dobre Contents Part I Introduction and Applications of MCC and Big Data Paradigm in 5G Access Handling Big Data in the Era of Internet of Things (IoT)............ 3 Koralia Papadokostaki, George Mastorakis, Spyros Panagiotakis, Constandinos X. Mavromoustakis, Ciprian Dobre and Jordi Mongay Batalla Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges ...................................... 23 Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, Spyros Panagiotakis and Evangelos Pallis Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future Opportunities ........... 43 Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, Spyros Panagiotakis and Evangelos Pallis Part II Architectures of MCC and Big Data Paradigm Heterogeneous Data Access Control Based on Trust and Reputation in Mobile Cloud Computing ...................... 65 Zheng Yan, Xueyun Li and Raimo Kantola A Survey on IoT: Architectures, Elements, Applications, QoS, Platforms and Security Concepts ........................... 115 Gonçalo Marques, Nuno Garcia and Nuno Pombo vii viii Contents Part III MCC and Big Data Paradigm in Smart Ambient Systems The Art of Advanced Healthcare Applications in Big Data and IoT Systems ............................................. 133 Claudia Ifrim, Andreea-Mihaela Pintilie, Elena Apostol, Ciprian Dobre and Florin Pop A Smart Vision with the 5G Era and Big Data—Next Edge in Connecting World ......................................... 151 Lokesh Kumar Gahlot, Pooja Khurana and Yasha Hasija Towards a Cloud-Native Radio Access Network ................... 171 Navid Nikaein, Eryk Schiller, Romain Favraud, Raymond Knopp, Islam Alyafawi and Torsten Braun Smart City Surveillance in Fog Computing ....................... 203 Ning Chen, Yu Chen, Xinyue Ye, Haibin Ling, Sejun Song and Chin-Tser Huang Part IV MCC and Big Data Control and Data Management Secure Opportunistic Vehicle-to-Vehicle Communication ............ 229 Alexandra-Elena Mihaita, Ciprian Dobre, Florin Pop, Constandinos X. Mavromoustakis and George Mastorakis Concurrency Control for Mobile Collaborative Applications in Cloud Environments........................................ 269 Moulay Driss Mechaoui and Abdessamad Imine Resource Management Supporting Big Data for Real-Time Applications in the 5G Era..................................... 289 Konstantinos Katzis and Christodoulos Efstathiades Smartphone-Based Telematics for Usage Based Insurance ........... 309 Prokopis Vavouranakis, Spyros Panagiotakis, George Mastorakis and Constandinos X. Mavromoustakis Collaborative Media Delivery in 5G Mobile Cloud Networks ......... 341 Piotr Krawiec, Jordi Mongay Batalla, Joachim Bruneau-Queyreix, Daniel Negru, George Mastorakis and Constandinos X. Mavromoustakis Online Music Application with Recommendation System ............ 361 Iulia Paraicu and Ciprian Dobre Part I Introduction and Applications of MCC and Big Data Paradigm in 5G Access Handling Big Data in the Era of Internet of Things (IoT) Koralia Papadokostaki, George Mastorakis, Spyros Panagiotakis, Constandinos X. Mavromoustakis, Ciprian Dobre and Jordi Mongay Batalla Abstract In the emerging 5G mobile computing environments, the need for cutting edge technologies regarding data transmission, storage and processing will be more critical than ever. In addition, handling of Big Data that is produced by Internet of Things (IoT) devices and extracting value out of it, is a real challenge for scientists and markets, towards providing extra profit to the society. In this context, this chapter aims to shortly present the correlation between Internet of Things and the expansion of Big Data. At first, a short reference to the evolution of IoT and Big Data is provided and their features are then introduced. In addition, the lifecycle of Big Data in IoT—from capturing to storage and analysis—is shortly described. Finally, two different approaches for the implementation of Big Data are presented, as well as issues in privacy and security are addressed. Keywords Internet of things (IoT) ⋅ Big data ⋅ Data storage ⋅ Privacy ⋅ Cloud computing ⋅ Wearables ⋅ RFIDs ⋅ WSNs K. Papadokostaki (✉) ⋅ G. Mastorakis ⋅ S. Panagiotakis Department of Informatics Engineering, Technological Educational Institute of Crete, Heraklion, Crete, Greece e-mail: [email protected] G. Mastorakis e-mail: [email protected] S. Panagiotakis e-mail: [email protected] C.X. Mavromoustakis Department of Computer Science, University of Nicosia, Nicosia, Cyprus e-mail: [email protected] C. Dobre Faculty of Automatic Control and Computers, Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania e-mail: [email protected] J.M. Batalla Warsaw University of Technology, Nowowiejska Str. 15/19, Warsaw, Poland e-mail: [email protected] © Springer International Publishing Switzerland 2017 3 C.X. Mavromoustakis et al. (eds.), Advances in Mobile Cloud Computing and Big Data in the 5G Era, Studies in Big Data 22, DOI 10.1007/978-3-319-45145-9_1 4 K. Papadokostaki et al. 1 Introduction Internet of things (IoT) is an emerging paradigm in the science of computers and technology in general. In the last years it has invaded our lives and is gaining ground as one of the most promising technologies. According to the European Commission, IoT involves “Things having identities and virtual personalities operating in smart spaces using intelligent interfaces to connect and communicate
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