Towards Mobile Cloud Computing in 5G Mobile Networks: Applications, Big Data Services and Future Opportunities

Georgios Skourletopoulos, Constandinos X. Mavromoustakis, George Mastorakis, Jordi Mongay Batalla, Ciprian Dobre, Spyros Panagiotakis, Evangelos Pallis

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

13 Citations (Scopus)

Abstract

The highly computationally capable mobile devices and the continuously increasing demand for high data rates and mobility, which are required by several mobile network services, enabled the research on fifth-generation (5G) mobile networks that are expected to be deployed beyond the year 2020 in order to support services and applications with more than one thousand times of today’s network traffic. On the other hand, the huge and complex location-aware datasets exceed the capability of spatial computing technologies. In this direction, the mobile cloud computing (MCC) technology was introduced as the combination of cloud computing and mobile computing, enabling the end-users to access the cloud-supported services through mobile devices (e.g., smartphones, tablets, portable computers or wearable devices). The mobile applications exploit cloud technologies for data processing, storage and other intensive operations, as they are executed on resource providers external to the devices. This tutorial article is a comprehensive review of the current state-of-the-art and the latest developments on mobile cloud computing under the 5G era, which helps early-stage researchers to have an overview of the existing solutions, techniques and applications and investigate open research issues and future challenges in this domain.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Pages43-62
Number of pages20
DOIs
Publication statusPublished - 2017

Publication series

NameStudies in Big Data
Volume22
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

Keywords

  • 5G mobile networks
  • Big data
  • Capacity
  • Data-driven
  • Lease cloud-based mobile services
  • Mobile cloud computing
  • Mobile cloud-based service level
  • Modelling

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