Advances in Mobile Cloud Computing and Big Data in the 5G by Constandinos X. Mavromoustakis

By Constandinos X. Mavromoustakis

This ebook reviews at the most modern advances at the theories, practices, criteria and methods which are concerning the fashionable expertise paradigms, the cellular Cloud computing (MCC) and large facts, because the pillars and their organization with the rising 5G cellular networks.

The publication contains 15 carefully refereed chapters written by way of top foreign researchers, delivering the readers with technical and clinical information regarding numerous facets of huge info and cellular Cloud Computing, from easy thoughts to complicated findings, reporting the cutting-edge on titanic info administration. It demonstrates and discusses tools and practices to enhance multi-source sizeable information manipulation concepts, in addition to the combination of assets availability throughout the 3As (Anywhere, whatever, every time) paradigm, utilizing the 5G entry technologies.

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

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Gr E. M. Batalla National Institute of Telecommunications, Szachowa Str. it C. X. Mavromoustakis et al. 1007/978-3-319-45145-9_3 43 44 G. Skourletopoulos et al. 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.

Informatica Corporation: Making sense of big data. com/ solutions/making_sense_of_big_data (2015). Accessed 18 Oct 2015 25. : Building the Data Warehouse. Wiley (2005) 26. : Cost-benefit analysis of cloud computing versus desktop grids. In: Proceedings of the 2009 IEEE International Symposium on Parallel and Distributed Processing (IPDPS 2009), Rome, pp. 1–12 (2009) 27. : Resource usage prediction for optimal and balanced provision of multimedia services. Proceedings of the 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2014), pp.

Their suggestions have contributed greatly to the high quality and improvement of this article. The authors would also like to acknowledge networking support by the ICT COST Action IC1303: Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE) and the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet). References 1. : Big data and cloud computing: current state and future opportunities. In: Proceedings of the 14th International Conference on Extending Database Technology (EDBT/ICDT’11), pp.

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