A Cost-effective Mobile Edge Computing Model

DOI

10.2991/icedem-18.2018.77How to use a DOI?

Keywords

Mobile edge computing; Mobile network; Cost-effective; Service latency

Abstract

With the explosive growth of smart devices and the advent of many new applications, data traffic over Internet has grown dramatically. Due to high latency and heavy burden on the backhaul links, traditional centralized network architecture cannot accommodate such challenges. Therefore, new architectures bring network functions to the edge of network, such as small-cell base stations and access point. Mobile Edge Computing (MEC) has been recognized as a promising technique to provide caching, computation and communication functionalities at the edge of cellular networks. In this paper, we first give an overview of mobile edge networks, including architecture and features. Next, a distributed and local-first computing (DLFC) model based on MEC is proposed, including distributed computing model and transmission model. Subsequently, the comparison between DLFC and centralized cloud computing (CCC) model is given and analyzed service delay and performance. Finally, the conclusion of this paper and future direction is presented as well.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qing Lin
AU  - Yulei Huang
PY  - 2018/12
DA  - 2018/12
TI  - A Cost-effective Mobile Edge Computing Model
BT  - Proceedings of the 2018 2nd International Conference on Economic Development and Education Management (ICEDEM 2018)
PB  - Atlantis Press
SP  - 304
EP  - 308
SN  - 2352-5398
UR  - https://doi.org/10.2991/icedem-18.2018.77
DO  - 10.2991/icedem-18.2018.77
ID  - Lin2018/12
ER  -