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Open AccessJournal ArticleDOI

Mobile Edge Computing: A Survey

TLDR
The definition of MEC, its advantages, architectures, and application areas are provided; where the security and privacy issues and related existing solutions are also discussed.
Abstract
Mobile edge computing (MEC) is an emergent architecture where cloud computing services are extended to the edge of networks leveraging mobile base stations. As a promising edge technology, it can be applied to mobile, wireless, and wireline scenarios, using software and hardware platforms, located at the network edge in the vicinity of end-users. MEC provides seamless integration of multiple application service providers and vendors toward mobile subscribers, enterprises, and other vertical segments. It is an important component in the 5G architecture which supports variety of innovative applications and services where ultralow latency is required. This paper is aimed to present a comprehensive survey of relevant research and technological developments in the area of MEC. It provides the definition of MEC, its advantages, architectures, and application areas; where we in particular highlight related research and future directions. Finally, security and privacy issues and related existing solutions are also discussed.

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Mobile Edge Computing: A
Survey
architecture, applications, approaches and challenges
Nasir Abbas
Master’s Thesis Autumn 2016


Mobile Edge Computing: A Survey
Nasir Abbas
December 12, 2016

ii

Abstract
Mobile edge computing (MEC) is an emergent architecture where cloud
computing services are extended to the edge of networks into the mobile
base stations. As a promising edge technology, it can be applied to mobile,
wireless and wireline scenarios, using software and hardware platforms,
located at the network edge in the vicinity of end users. MEC provides
seamless integration of multiple application service providers and vendors
towards mobile subscribers, enterprises and other vertical segments. It is
an important component in the proposed 5G architecture that supports
variety of innovative applications and services where ultra low latency
is required. However, there are some challenges exists in the MEC eco
system. To address these challenges, first off need to understand the
network infrastructure of MEC, cloud and cellular network.
Some questions and problems are addressed in this thesis that outlines
the importance and challenges of MEC deployment. Impact of MEC
integration with the traditional mobile and cloud network appears in
this paper. A survey has been presented that contributes in general
understanding of mobile edge computing (MEC). Readers will have
an overview of MEC, such as definition, advantages, architectures and
applications. Moreover, related research and future directions are pointed
out in this thesis. Finally, security and privacy issues and their possible
solutions are also discussed.
iii

Citations
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A Survey on IoT Security: Application Areas, Security Threats, and Solution Architectures

TL;DR: A detailed review of the security-related challenges and sources of threat in the IoT applications is presented and four different technologies, blockchain, fog computing, edge computing, and machine learning, to increase the level of security in IoT are discussed.
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All one needs to know about fog computing and related edge computing paradigms: A complete survey

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Federated Learning in Mobile Edge Networks: A Comprehensive Survey

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References
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Proceedings ArticleDOI

Enabling Real-Time Context-Aware Collaboration through 5G and Mobile Edge Computing

TL;DR: It is shown that combining 5G with MEC would enable inter- and intra-domain use cases that are otherwise not feasible and make a strong case that this could be accomplished by combining the novel communication architectures being proposed for5G with the principles of Mobile Edge Computing.
Proceedings ArticleDOI

Fog Computing architecture to enable consumer centric Internet of Things services

TL;DR: Fog Computing platforms are becoming an important enabler for consumer centric Internet of Things based applications and services that require real time operations e.g. connected vehicles, smart road intersection management and smart grid.
Proceedings ArticleDOI

A Reference Model of Information Assurance a Security

TL;DR: A Reference Model of Information Assurance & Security (RMIAS) is proposed, which endeavours to address the recent trends in the IAS evolution, namely diversification and deperimetrisation.
Proceedings ArticleDOI

Mobile Edge Computing: Progress and Challenges

TL;DR: A platform is proposed, named WiCloud, to provide edge networking, proximate computing and data acquisition for innovative services, and the open challenges that must be addressed before the commercial deployment of MEC are discussed.
Proceedings ArticleDOI

Adaptive Computation Offloading from Mobile Devices into the Cloud

TL;DR: The evaluation shows that applications, which involve complicated algorithms and large computations, can benefit from offloading with around 95% energy savings and significant performance gains compared to local execution only.
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