By Constandinos X. Mavromoustakis
This publication experiences at the most modern advances at the theories, practices, criteria and techniques which are concerning the trendy know-how paradigms, the cellular Cloud computing (MCC) and large info, because the pillars and their organization with the rising 5G cellular networks.
The ebook comprises 15 carefully refereed chapters written via best foreign researchers, supplying the readers with technical and medical information regarding a number of facets of massive information and cellular Cloud Computing, from easy thoughts to complex findings, reporting the state of the art on huge information administration. It demonstrates and discusses tools and practices to enhance multi-source substantial information manipulation strategies, in addition to the mixing of assets availability throughout the 3As (Anywhere, whatever, every time) paradigm, utilizing the 5G entry technologies.
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Extra resources for Advances in Mobile Cloud Computing and Big Data in the 5G Era
Evangelos Pallis is an Associate Professor in the Applied Informatics and Multimedia Department, School of Applied Technology, Technological Educational Institute of Crete, and co-director of the “PASIPHAE” Research and Development of Telecommunication Systems Laboratory. Sc. Sc. in Telecommunications from University of East London in 1997. D. in Telecommunications from the University of East London in 2002. His research interests are in the ﬁelds of wireless networks, mobile communication systems, digital broadcasting technologies and interactive television systems, cognitive radio and dynamic access technologies, QoS/QoE techniques and network management techniques, as well as in radio-resource trading and optimisation techniques.
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].
Towards the evaluation of a big data-as-a-service model: a decision theoretic approach. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM 2016)—First IEEE International Workshop on Big Data Sciences, Technologies and Applications (BDSTA), San Francisco, California, USA (2016a) 49. : An evaluation of cloud-based mobile services with limited capacity: a linear approach. Soft Comput. (2016). 1007/s00500-016-2083-4 50. : Quantifying and evaluating the technical debt on mobile cloud-based service level.