Mobile Edge Computing

Matthew N. O. Sadiku; Chandra M. M. Kotteti; Sarhan M. Musa

Mobile Edge Computing

Matthew N. O. Sadiku *

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Chandra M. M. Kotteti

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Sarhan M. Musa

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CST3R961

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Abstract

Mobile applications are becoming increasingly computationalintensive, while many mobile devices still have limited battery power and cannot support computational intensive tasks. Mobile edge computing (MEC) computing is an extension of edge computing, and it refers to computing at the edge of a network. In mobile edge computing, computing and storage nodes are placed at the Internet’s edge near mobile devices. It places the edge clouds at the candidate locations. This paper presents a brief introduction to MEC.

References

9 Cites in Article

Reference Format

M Sadiku,S Musa,R Nelatury (2016). Mobile computing.
W Khana (2019). Edge computing: A survey.
M Sadiku,A Oteniya,S Musa (2018). Edge computing.
Matthew Sadiku,Chandra Kotteti,Sarhan Musa (2019). GREEN MARKETING: A PRIMER.
Hongxing Li,Guochu Shou,Yihong Hu,Zhigang Guo (2014). Mobile Edge Computing: Progress and Challenges.
Wenda Tang,Xuan Zhao,Wajid Rafique,Lianyong Qi,Wanchun Dou,Qiang Ni (2019). An offloading method using decentralized P2P-enabled mobile edge servers in edge computing.
Nasir Abbas,Yan Zhang,Amir Taherkordi,Tor Skeie (2018). Mobile Edge Computing: A Survey.
Xiaolu Zhu,Jinglin Li,Zhihan Liu,Fangchun Yang (2017). Location deployment of depots and resource relocation for connected car-sharing systems through mobile edge computing.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Matthew Sadiku, Chandra Kotteti, Sarhan Musa. 2019. "Mobile Edge Computing". Global Journal of Computer Science and Technology, Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 19 (GJCST Volume 19 Issue E2).

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GJCST Volume 19 Issue E2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-E Classification C.2.1

Submission ReceivedDecember 14, 2018
Peer Review Double Blind
Handling Editor
Accepted January 3, 2019
Published January 15, 2019

Version of record

v1.2

Issue date

March 23, 2019

Language

English

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Article Matrices

Total Score: 173

Country: United States

Subject: Global Journal of Computer Science and Technology

Authors: Matthew N. O. Sadiku, Chandra M. M. Kotteti, Sarhan M. Musa (PhD/Dr. count: 0)

View Count (all-time): 345

Total Views (Real + Logic): 1202

Total Downloads (simulated): 76

Publish Date: 2019 01, Tue

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Total Views: 1.2K

Total Downloads: 76

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