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

Overview of attention for book
Cover of 'Advances in Mobile Cloud Computing and Big Data in the 5G Era'

Table of Contents

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    Book Overview
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    Chapter 1 Handling Big Data in the Era of Internet of Things (IoT)
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    Chapter 2 Big Data and Cloud Computing: A Survey of the State-of-the-Art and Research Challenges
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    Chapter 3 Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future Opportunities
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    Chapter 4 Heterogeneous Data Access Control Based on Trust and Reputation in Mobile Cloud Computing
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    Chapter 5 A Survey on IoT: Architectures, Elements, Applications, QoS, Platforms and Security Concepts
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    Chapter 6 The Art of Advanced Healthcare Applications in Big Data and IoT Systems
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    Chapter 7 A Smart Vision with the 5G Era and Big Data—Next Edge in Connecting World
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    Chapter 8 Towards a Cloud-Native Radio Access Network
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    Chapter 9 Smart City Surveillance in Fog Computing
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    Chapter 10 Secure Opportunistic Vehicle-to-Vehicle Communication
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    Chapter 11 Concurrency Control for Mobile Collaborative Applications in Cloud Environments
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    Chapter 12 Resource Management Supporting Big Data for Real-Time Applications in the 5G Era
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    Chapter 13 Smartphone-Based Telematics for Usage Based Insurance
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    Chapter 14 Collaborative Media Delivery in 5G Mobile Cloud Networks
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    Chapter 15 Online Music Application with Recommendation System
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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32 Dimensions

Readers on

mendeley
142 Mendeley
Summary X Dimensions citations
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Title
Advances in Mobile Cloud Computing and Big Data in the 5G Era
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-45145-9
ISBNs
978-3-31-945143-5, 978-3-31-945145-9
Editors

Constandinos X. Mavromoustakis, George Mastorakis, Ciprian Dobre

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 142 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 25%
Student > Master 28 20%
Student > Bachelor 16 11%
Lecturer 12 8%
Researcher 11 8%
Other 22 15%
Unknown 18 13%
Readers by discipline Count As %
Computer Science 77 54%
Engineering 23 16%
Economics, Econometrics and Finance 5 4%
Business, Management and Accounting 3 2%
Mathematics 2 1%
Other 8 6%
Unknown 24 17%

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