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2017 | OriginalPaper | Chapter

A Survey and Design of a Scalable Mobile Edge Cloud Platform for the Smart IoT Devices and It’s Applications

Authors : Yeongpil Cho, Yunheung Paek, Ejaz Ahmed, Kwangman Ko

Published in: Advances in Computer Science and Ubiquitous Computing

Publisher: Springer Singapore

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Abstract

Mobile Edge Computing offers real time RAN information (like network load, user’s location) to the application developers and content developers. These real time network information are used to provide context aware services to the mobile subscribers, thereby enriching user’s satisfaction and improving Quality-of-Experience. Mobile edge computing platform increases the edge responsibility and allows computation and services to be hosted at the edge, which reduces the network latency and bandwidth computation of the subscribers. In this research paper, we designed the scalar mobile edge cloud platform and it’s appropriate edge applications, such as 360° panorama image processing, which has a special characteristics and challenges to extend an edge servers on edge cloud by the subscribers demands. This research paper challenges capable to overcome the static al constrains of edge serve capacities and supports flexible computing facilities.

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previous chapter Active Tracking Strategy with Multiple Cameras in Large Areas
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Metadata
Title
A Survey and Design of a Scalable Mobile Edge Cloud Platform for the Smart IoT Devices and It’s Applications
Authors
Yeongpil Cho
Yunheung Paek
Ejaz Ahmed
Kwangman Ko
Copyright Year
2017
Publisher
Springer Singapore
Book
Advances in Computer Science and Ubiquitous Computing

Print ISBN: 978-981-10-3022-2

Electronic ISBN: 978-981-10-3023-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-3023-9_106