Download e-book for iPad: Advances in Mobile Cloud Computing and Big Data in the 5G by Constandinos X. Mavromoustakis
By Constandinos X. Mavromoustakis
This ebook stories at the most up-to-date advances at the theories, practices, criteria and methods which are with regards to the fashionable expertise paradigms, the cellular Cloud computing (MCC) and massive info, because the pillars and their organization with the rising 5G cellular networks.
The e-book comprises 15 conscientiously refereed chapters written through prime overseas researchers, offering the readers with technical and clinical information regarding numerous points of massive information and cellular Cloud Computing, from uncomplicated ideas to complicated findings, reporting the cutting-edge on gigantic info administration. It demonstrates and discusses equipment and practices to enhance multi-source great info manipulation concepts, in addition to the combination of assets availability in the course of the 3As (Anywhere, whatever, each 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
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. The development of a cloud-supported big data mining platform, which provides statistical and data analytics functions, has been also explored .
In this context, new challenges and open research issues are encountered, including storage, capture, processing, ﬁltering, analysis, curation, search, sharing, visualization, querying and privacy of the very large volumes of data. The aforementioned issues are categorized and elaborated as follows : • Data storage and management: Since big data are dependent on extensive storage capacity and data volumes grow exponentially, the current data management systems cannot satisfy the needs of big data due to limited storage capacity.
Heraklion, Crete, Greece (2014) 33. : Real-time performance evaluation of F-BTD scheme for optimized QoS energy conservation in wireless devices. In: Proceedings of IEEE Globecom 2013, 2nd IEEE Workshop on Quality of Experience for Multimedia Communications (QoEMC2013), Atlanta, GA, USA, 09–13 Dec 2013 34. : Context-oriented opportunistic cloud offload processing for energy conservation in wireless devices. Proceedings of the IEEE Global Communications Conference (GLOBECOM 2014)—The Second International Workshop on Cloud Computing Systems, Networks, and Applications (CCSNA), pp.
Advances in Mobile Cloud Computing and Big Data in the 5G Era by Constandinos X. Mavromoustakis