TY - CHAP
T1 - Towards Mobile Cloud Computing in 5G Mobile Networks
T2 - Applications, Big Data Services and Future Opportunities
AU - Skourletopoulos, Georgios
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Dobre, Ciprian
AU - Panagiotakis, Spyros
AU - Pallis, Evangelos
N1 - Funding Information:
The authors would like to thank the anonymous reviewers for their constructive comments and feedback on the manuscript. Their suggestions have contributed significantly to the high quality and improvement of this survey chapter. The research is supported by the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applica-tions” (cHiPSet).
Publisher Copyright:
© 2017, Springer International Publishing Switzerland.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
KW - 5G mobile networks
KW - Big data
KW - Capacity
KW - Data-driven
KW - Lease cloud-based mobile services
KW - Mobile cloud computing
KW - Mobile cloud-based service level
KW - Modelling
UR - http://www.scopus.com/inward/record.url?scp=85044868801&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-45145-9_3
DO - 10.1007/978-3-319-45145-9_3
M3 - Chapter
AN - SCOPUS:85044868801
T3 - Studies in Big Data
SP - 43
EP - 62
BT - Studies in Big Data
PB - Springer Science and Business Media Deutschland GmbH
ER -