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

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

Part of the book series: Studies in Big Data ((SBD,volume 22))

Abstract

The highly computationally capable mobile devices and the continuously increasing demand for high data rates and mobility, which are required by several mobile network services, enabled the research on fifth-generation (5G) mobile networks that are expected to be deployed beyond the year 2020 in order to support services and applications with more than one thousand times of today’s network traffic. On the other hand, the huge and complex location-aware datasets exceed the capability of spatial computing technologies. In this direction, the mobile cloud computing (MCC) technology was introduced as the combination of cloud computing and mobile computing, enabling the end-users to access the cloud-supported services through mobile devices (e.g., smartphones, tablets, portable computers or wearable devices). The mobile applications exploit cloud technologies for data processing, storage and other intensive operations, as they are executed on resource providers external to the devices. This tutorial article is a comprehensive review of the current state-of-the-art and the latest developments on mobile cloud computing under the 5G era, which helps early-stage researchers to have an overview of the existing solutions, techniques and applications and investigate open research issues and future challenges in this domain.

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Acknowledgements

The authors would like to thank the anonymous reviewers for their constructive comments and feedback on the manuscript. Their suggestions have contributed significantly to the high quality and improvement of this survey chapter. The research is supported by the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet).

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Authors and Affiliations

  1. Mobile Systems (MoSys) Laboratory, Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Georgios Skourletopoulos & Constandinos X. Mavromoustakis

  2. Department of Informatics Engineering, Technological Educational Institute of Crete, Heraklion, Crete, Greece

    George Mastorakis, Spyros Panagiotakis & Evangelos Pallis

  3. National Institute of Telecommunications, Szachowa Str. 1, Warsaw, Poland

    Jordi Mongay Batalla

  4. Faculty of Automatic Control and Computers, Department of Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

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  1. Georgios Skourletopoulos
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  2. Constandinos X. Mavromoustakis
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Correspondence to Georgios Skourletopoulos .

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Editors and Affiliations

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

    Constandinos X. Mavromoustakis

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

    George Mastorakis

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

    Ciprian Dobre

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Skourletopoulos, G. et al. (2017). Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future Opportunities. In: Mavromoustakis, C., Mastorakis, G., Dobre, C. (eds) Advances in Mobile Cloud Computing and Big Data in the 5G Era. Studies in Big Data, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-45145-9_3

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