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


By Constandinos X. Mavromoustakis

This e-book experiences at the most up-to-date advances at the theories, practices, criteria and techniques which are regarding the trendy expertise paradigms, the cellular Cloud computing (MCC) and large information, because the pillars and their organization with the rising 5G cellular networks.

The booklet contains 15 carefully refereed chapters written via top overseas researchers, delivering the readers with technical and clinical information regarding quite a few points of massive facts and cellular Cloud Computing, from simple innovations to complicated findings, reporting the state of the art on titanic information administration. It demonstrates and discusses tools and practices to enhance multi-source substantial information manipulation strategies, in addition to the combination of assets availability throughout the 3As (Anywhere, something, every time) paradigm, utilizing the 5G entry technologies.

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Autonomic metered pricing for a utility computing service. Future Gener. Comput. Syst. 26, 1368–1380 (2010) 58. : SLA-based resource scheduling for big data analytics as a service in cloud computing environments. In: Proceedings of the 2015 44th International Conference on Parallel Processing (ICPP), Beijing, pp. 510–519 (2015) Big Data and Cloud Computing: A Survey … 39 59. : Service-generated big data and big data-as-a-service: an overview. Proceedings of the 2013 IEEE International Congress on Big Data (BigData Congress), pp.

X. X. cy G. Mastorakis ⋅ S. Panagiotakis ⋅ E. gr S. gr E. M. Batalla Warsaw University of Technology, Nowowiejska Str. it C. X. Mavromoustakis et al. 1007/978-3-319-45145-9_2 23 24 G. Skourletopoulos et al. presents a review of the current big data research, exploring applications, opportunities and challenges, as well as the state-of-the-art techniques and underlying models that exploit cloud computing technologies, such as the big data-as-a-service (BDaaS) or analytics-as-a-service (AaaS). ⋅ ⋅ Keywords Big data Data analytics Data management data-as-a-service Analytics-as-a-service Business intelligence storage Cloud computing Cost-benefit analysis model ⋅ ⋅ ⋅ ⋅ ⋅ ⋅ Big Lease 1 Introduction The Internet penetration constantly increases, as more and more people browse the Web, use email and social network applications to communicate with each other or access wireless multimedia services, such as mobile TV [27, 43].

Gr S. 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.

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