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作者:

Fu, Haijun (Fu, Haijun.) | Xiong, Gang (Xiong, Gang.) | Liu, Yue (Liu, Yue.) | Hu, Bin (Hu, Bin.) | Liu, Sheng (Liu, Sheng.) | Chen, Shichao (Chen, Shichao.)

收录:

CPCI-S

摘要:

IoT connections emerge exponential growth trend, which poses a serious challenge to cloud computing due to the limit of network bandwidth. Edge computing provides a promising solution. however, the computing power of edge side isn't enough to complete large scale tasks. Hence, to solve computing power shortage, a collaborative edge network (CEN) model is proposed, including system model and network communication model. Further, to estimate the performance of CEN, we design and implement ant colony algorithm to schedule tasks for IoT scenarios. The simulation results show, as the mobile devices increase to 1500, the CEN reduces significantly average task complete time by 90% and task failure rate (TFR) by 10% compared with OnlyEdge. And the CEN reduces sharply TFR by 70% compared with OnlyCloud. As a consequence, the comprehensive performance of CEN is leading, which has more powerful access ability to serve enormous IoT devices.

关键词:

ant colony algorithm cloud collaborative edge network edge computing IoT

作者机构:

  • [ 1 ] [Fu, Haijun]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
  • [ 2 ] [Fu, Haijun]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
  • [ 3 ] [Xiong, Gang]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
  • [ 4 ] [Liu, Yue]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
  • [ 5 ] [Hu, Bin]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
  • [ 6 ] [Liu, Sheng]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
  • [ 7 ] [Chen, Shichao]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
  • [ 8 ] [Xiong, Gang]Chinese Acad Sci, Guangdong Engn Res Ctr 3D Printing & Intelligent, Cloud Comp Ctr, Beijing, Peoples R China
  • [ 9 ] [Liu, Yue]Beijing Univ Technol, Sch Artificial Intelligence & Automat, Beijing, Peoples R China
  • [ 10 ] [Hu, Bin]Qingdao Acad Intelligent Ind, Qingdao, Peoples R China

通讯作者信息:

  • [Chen, Shichao]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China

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来源 :

PROCEEDINGS OF THE 2021 IEEE 16TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2021)

ISSN: 2156-2318

年份: 2021

页码: 1334-1339

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 3

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