By Constandinos X. Mavromoustakis
This publication reviews at the most modern advances at the theories, practices, criteria and techniques which are regarding the trendy expertise paradigms, the cellular Cloud computing (MCC) and large facts, because the pillars and their organization with the rising 5G cellular networks.
The e-book comprises 15 conscientiously refereed chapters written through major overseas researchers, supplying the readers with technical and medical information regarding quite a few features of huge info and cellular Cloud Computing, from easy thoughts to complicated findings, reporting the cutting-edge on colossal information administration. It demonstrates and discusses tools and practices to enhance multi-source giant info manipulation innovations, in addition to the combination of assets availability in the course of 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
The differences between the conventional mobile cloud computing and the mobile-cloudlet-cloud computing architectures are demonstrated in Fig. 3 . For the latter, the mobile devices interact via the cloudlet, using dynamic partitioning to achieve their quality of service goals. Finally, CloneCloud , another VM migration approach, aims to offload part of the mobile application workload to a resourceful server through either 3G or a wireless connection without the need of annotating methods, as witnessed in MAUI .
In this context, Zheng et al.  critically review the service-generated big data and big data-as-a-service (see Fig. 2) towards Fig. 1 A conceptual big data warehouse architecture 26 G. Skourletopoulos et al. Fig. 2 Service-generated big data and big data-as-a-service as presented by Zheng et al.  the proposal of an infrastructure to provide functionality for managing and analyzing different types of service-generated big data. A big data-as-a-service framework has been also employed to provide big data services and data analytics results to users, enhance efﬁciency and reduce cost.
Sc. D. in Telecommunications from the University of the Aegean, Greece in 2008. He is serving as an Assistant Professor at the Technological Educational Institute of Crete and as a Research Associate in Research & Development of Telecommunications Systems Laboratory at the Centre for Technological Research of Crete, Greece. His research interests include cognitive radio networks, networking trafﬁc analysis, radio resource management and energy efﬁcient networks. He has more than 80 publications at various international conferences proceedings, workshops, scientiﬁc journals and book chapters.