Application of EdgeFlow mobile edge computing in Internet of things

In order to meet the requirements of higher computing speed,lower communication delay and higher access density in the future Internet of things,a computational framework of EdgeFlow for mobile edge computing and a task unloading algorithm considering blocking and non-blocking state were proposed.Th...

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Main Authors: Shuchang CONG, Chao YAO, Pengfei WANG, Zijie ZHENG
Format: Article
Language:zho
Published: China InfoCom Media Group 2019-03-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00098/
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author Shuchang CONG
Chao YAO
Chao YAO
Pengfei WANG
Zijie ZHENG
author_facet Shuchang CONG
Chao YAO
Chao YAO
Pengfei WANG
Zijie ZHENG
author_sort Shuchang CONG
collection DOAJ
description In order to meet the requirements of higher computing speed,lower communication delay and higher access density in the future Internet of things,a computational framework of EdgeFlow for mobile edge computing and a task unloading algorithm considering blocking and non-blocking state were proposed.The simulation experiments on the universal software radio platform show that the computational efficiency can be improved significantly and the communication delay can be reduced by EdgeFlow.It points out a new development direction,lays a theoretical and practical foundation for solving the problem of higher computational requirements of the Internet of things.And it will be widely used in the Internet of things scenarios.
format Article
id doaj-art-8d63a99f50a04c499fdc57fc89fdbed9
institution Kabale University
issn 2096-3750
language zho
publishDate 2019-03-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-8d63a99f50a04c499fdc57fc89fdbed92025-01-15T02:52:24ZzhoChina InfoCom Media Group物联网学报2096-37502019-03-013909659644295Application of EdgeFlow mobile edge computing in Internet of thingsShuchang CONGChao YAOChao YAOPengfei WANGZijie ZHENGIn order to meet the requirements of higher computing speed,lower communication delay and higher access density in the future Internet of things,a computational framework of EdgeFlow for mobile edge computing and a task unloading algorithm considering blocking and non-blocking state were proposed.The simulation experiments on the universal software radio platform show that the computational efficiency can be improved significantly and the communication delay can be reduced by EdgeFlow.It points out a new development direction,lays a theoretical and practical foundation for solving the problem of higher computational requirements of the Internet of things.And it will be widely used in the Internet of things scenarios.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00098/internet of thingsmobile edge computingtask offloadingresource allocation
spellingShingle Shuchang CONG
Chao YAO
Chao YAO
Pengfei WANG
Zijie ZHENG
Application of EdgeFlow mobile edge computing in Internet of things
物联网学报
internet of things
mobile edge computing
task offloading
resource allocation
title Application of EdgeFlow mobile edge computing in Internet of things
title_full Application of EdgeFlow mobile edge computing in Internet of things
title_fullStr Application of EdgeFlow mobile edge computing in Internet of things
title_full_unstemmed Application of EdgeFlow mobile edge computing in Internet of things
title_short Application of EdgeFlow mobile edge computing in Internet of things
title_sort application of edgeflow mobile edge computing in internet of things
topic internet of things
mobile edge computing
task offloading
resource allocation
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2019.00098/
work_keys_str_mv AT shuchangcong applicationofedgeflowmobileedgecomputingininternetofthings
AT chaoyao applicationofedgeflowmobileedgecomputingininternetofthings
AT chaoyao applicationofedgeflowmobileedgecomputingininternetofthings
AT pengfeiwang applicationofedgeflowmobileedgecomputingininternetofthings
AT zijiezheng applicationofedgeflowmobileedgecomputingininternetofthings