New PDF release: Advances in Mobile Cloud Computing and Big Data in the 5G
By Constandinos X. Mavromoustakis
This ebook experiences at the most up-to-date advances at the theories, practices, criteria and methods which are relating to the trendy expertise paradigms, the cellular Cloud computing (MCC) and massive information, because the pillars and their organization with the rising 5G cellular networks.
The ebook comprises 15 carefully refereed chapters written by way of best overseas researchers, offering the readers with technical and medical information regarding a number of points of massive info and cellular Cloud Computing, from simple innovations to complicated findings, reporting the state of the art on immense information administration. It demonstrates and discusses tools and practices to enhance multi-source mammoth info manipulation suggestions, in addition to the mixing of assets availability in the course of the 3As (Anywhere, whatever, each time) paradigm, utilizing the 5G entry technologies.
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Additional info for Advances in Mobile Cloud Computing and Big Data in the 5G Era
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 . A cost-beneﬁt analysis is also performed, calculating the cost involved in migration and execution on the cloud and comparing it against a monolithic execution.
Keywords Mobile cloud computing Mobile cloud-based service level 5G mobile networks Big data Data-driven Modelling Capacity Lease cloud-based mobile services ⋅ ⋅ ⋅ ⋅ ⋅ 1 Introduction Since the data burst, the growth of mobile communication networks and the unprecedented increase in mobile data and multimedia trafﬁc every year will occur in 5G mobile networks, the need for increasing the wireless network capacity is motivated in this fully interconnected information society [1–4]. Location information is an intrinsic part of different mobile devices and current mobile services are developed having a context-aware orientation and enclosing location-aware features.
Proceedings of the 2014 IEEE 19th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2014), pp. 36–40. Greece, Athens (2014) 46. : The technical debt in cloud software engineering: a prediction-based and quantiﬁcation approach. , Pallis, E. ) Resource Management of Mobile Cloud Computing Networks and Environments, 1st edn, pp. 24–42. IGI Global, Hershey, PA (2015) 47. : A fluctuation-based modelling approach to quantiﬁcation of the technical debt on mobile cloud-based service level.
Advances in Mobile Cloud Computing and Big Data in the 5G Era by Constandinos X. Mavromoustakis