Harnessing Edge Computing Resources for Accelerating Industrial Tasks

Tao Xing, Helei Cui, Yaxing Chen, Zihui Luo, Bin Guo, Zhiwen Yu, Xiaobing Guo, Yirong Ma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Cloud-edge collaboration, as an emerging computing paradigm, aims to solve the shortcomings of remote transmission of conventional cloud computing. More precisely, it combines the powerful resource service capability of cloud computing with the advantages of low latency and relatively low energy consumption of edge computing to achieve the goal of optimization of various applications. However, with the rapid growth of computation-intensive industrial tasks, the overload problem of edge networks is becoming increasingly serious. Prior studies usually assume that the real-time state of edge resources has been known when selecting the offloading strategy so as to classify and execute tasks, but do not consider the fragmentation and heterogeneity features of edge computing resources. In light of these, we first generalize and model the computing resources of the edge nodes uniformly and then propose new heterogeneous task classification and recognition methods empowered by edge intelligence. We conduct intensive experiments to justify that our proposed design can minimize the data transmission delay caused by repeated computational tasks while saving energy consumption.

Original languageEnglish
Title of host publicationProceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages652-659
Number of pages8
ISBN (Electronic)9798350358261
DOIs
StatePublished - 2023
Event19th International Conference on Mobility, Sensing and Networking, MSN 2023 - Jiangsu, China
Duration: 14 Dec 202316 Dec 2023

Publication series

NameProceedings - 2023 19th International Conference on Mobility, Sensing and Networking, MSN 2023

Conference

Conference19th International Conference on Mobility, Sensing and Networking, MSN 2023
Country/TerritoryChina
CityJiangsu
Period14/12/2316/12/23

Keywords

  • Cloud-Edge Collaboration
  • Edge Computing
  • Industrial Internet
  • Industrial Tasks

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