Application of EdgeFlow mobile edge computing in Internet of things

Shuchang CONG; Chao YAO; Chao YAO; Pengfei WANG; Zijie ZHENG

doi:10.11959/j.issn.2096-3750.2019.00098

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Application of EdgeFlow mobile edge computing in Internet of things

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- Application of EdgeFlow mobile edge computing in Internet of things
- Chinese Journal on Internet of Things Vol. 3, Issue 1, Pages: 90-96(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2019.00098
  CLC： TP391
- Published：30 March 2019，
  
  Published Online：2019-03，
- 稿件说明：
移动端阅览
SHUCHANG CONG, CHAO YAO, CHAO YAO, et al. Application of EdgeFlow mobile edge computing in Internet of things. [J]. Chinese journal on internet of things, 2019, 3(1): 90-96.
DOI：

SHUCHANG CONG, CHAO YAO, CHAO YAO, et al. Application of EdgeFlow mobile edge computing in Internet of things. [J]. Chinese journal on internet of things, 2019, 3(1): 90-96. DOI： 10.11959/j.issn.2096-3750.2019.00098.

摘要

为应对未来物联网更高计算速率、更低通信时延和更高接入密度的要求，提出了移动边缘计算框架EdgeFlow，考虑了阻塞态和非阻塞态的任务卸载算法。通用软件无线电平台模拟实验表明，EdgeFlow 可以显著提高计算效率、降低通信时延，为解决物联网更高计算需求的问题指明了新的发展方向，奠定了理论与实践基础，可以广泛应用于物联网场景中。

Abstract

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.

关键词

物联网移动边缘计算任务卸载资源调度

Keywords

Internet of thingsmobile edge computingtask offloadingresource allocation

references

MUHAMMAD A N, MUHAMMAD A S, IMRAN A K . A survey on current repertoire for 5G[J]. Journal of Industrial Information Integration, 2017,40(2): 18-29.

MOHAMMAD A R, MARIJA M J, ANDREI P ,et al. Middleware for Internet of things:a survey[J]. IEEE Internet of Things Journal, 2017,3(1): 70-95.

JEFFREY B . Cisco:SDN,collaboration,Internet of things to drive future trends[J]. eWEEK, 2013(12): 5.

EVANS D . The Internet of things:how the next evolution of the Internet is changing everything[J]. CISCO White Paper, 2011(1): 11.

ALEKSANDRA C, HENRIK L C, YING Y ,et al. Cloud RAN for mobile networks——a technology overview[J]. IEEE Communications Surveys and Tutorials, 2015,17(1): 405-426.

WANG S , ZHANG X , ZHANG Y ,et al. A survey on mobile edge networks:convergence of computing,caching and communications[J]. IEEE Access, 2017: 1

YI S H, LI C, LI Q . A survey of fog computing[C]// The 2015 Workshop on Mobile Big Data. ACM, 2015: 9-16.

SHI W S, CAO J, ZHANG Q ,et al. Edge computing:vision and challenges[J]. IEEE Internet of Things Journal, 2016,3(5): 637-646.

TANG L, HE S B . Multi-user computation offloading in mobile edge computing:a behavioral perspective[J]. IEEE Network, 2018,32(1): 48-53.

LIU J, MAO Y Y, ZHANG J ,et al. Delay-optimal computation task scheduling for mobile-edge computing systems[C]// IEEE International Conference on Distributed Computing Systems. IEEE, 2016: 1451-1455.

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Related Institution

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