By Constandinos X. Mavromoustakis
This e-book experiences at the most recent advances at the theories, practices, criteria and methods which are regarding the trendy know-how paradigms, the cellular Cloud computing (MCC) and massive info, because the pillars and their organization with the rising 5G cellular networks.
The booklet comprises 15 carefully refereed chapters written via major overseas researchers, supplying the readers with technical and clinical information regarding a number of points of massive info and cellular Cloud Computing, from simple options to complicated findings, reporting the cutting-edge on huge information administration. It demonstrates and discusses equipment and practices to enhance multi-source huge facts manipulation concepts, in addition to the combination of assets availability during 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
Big Data and Cloud Computing: A Survey … 33 Fig. 7 Cost analysis for the second case scenario Fig. 8 Beneﬁts analysis for the second case scenario 4 Challenges and Open Research Issues The rise and development of social networks, multimedia, electronic commerce (e-Commerce) and cloud computing have increased considerably the data. Additionally, since the needs of enterprise analytics are constantly growing, the conventional hub-and-spoke architectures cannot satisfy the demands and, therefore, 34 G.
Commun. ACM 51, 107–113 (2008) 15. : Leveraging the capabilities of service-oriented decision support systems: putting analytics and big data in cloud. Decis. Support Syst. 55, 412–421 (2013) 16. : Data and trafﬁc models in 5G network. In: Internet of Things (IoT) in 5G Mobile Technologies, pp. 485–499. Springer International Publishing (2016) 17. : App engine—platform as a service. com/appengine (2015). Accessed 18 Oct 2015 18. : Security in smart grids and smart spaces for smooth IoT deployment in 5G.
Several research efforts have been devoted comparing the monetary cost-beneﬁts of cloud computing with desktop grids , examining cost-beneﬁt approaches of using cloud computing to extend the capacity of clusters  or calculating the cloud total cost of ownership and utilization cost  to evaluate the economic efﬁciency of the cloud. Finally, novel metrics for predicting and quantifying the technical debt on cloud-based software engineering and cloud-based service level were also proposed in the literature from the cost-beneﬁt viewpoint [44, 45] and extended evaluation results are discussed by Skourletopoulos et al.