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A Resource Management Model for Real-Time Edge System of Multiple Robots

  • Zheyuan Hu
  • , Jianwei Niu*
  • , Tao Ren
  • , Huiyong Li
  • , Ye Rui
  • , Yuan Qiu
  • , Liang Bai
  • *Corresponding author for this work
  • Beihang University
  • Shanghai Aerospace Control Technology Institute

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

Abstract

Industrial robots are playing an important role in now a day industrial productions. However, due to the increasing in robot hardware modules and the rapid expansion of software modules, the reliability of operating systems for industrial robots is facing severe challenges, especially for the light-weight edge computing platforms. Based on current technologies on resource security isolation protection and access control, a novel resource management model for real-Time edge system of multiple robot arms is proposed on light-weight edge devices. This novel resource management model can achieve the following functions: mission-critical resource classification, resource security access control, and multi-level security data isolation transmission. We also propose a fault location and isolation model on each lightweight edge device, which ensures the reliability of the entire system. Experimental results show that the robot operating system can meet the requirements of hierarchical management and resource access control. Compared with the existing methods, the fault location and isolation model can effectively locate and deal with the faults generated by the system.

Original languageEnglish
Title of host publicationProceedings - 2020 7th IEEE International Conference on Cyber Security and Cloud Computing and 2020 6th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages222-227
Number of pages6
ISBN (Electronic)9781728165509
DOIs
StatePublished - Aug 2020
Event7th IEEE International Conference on Cyber Security and Cloud Computing and 6th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2020 - New York, United States
Duration: 1 Aug 20203 Aug 2020

Publication series

NameProceedings - 2020 7th IEEE International Conference on Cyber Security and Cloud Computing and 2020 6th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2020

Conference

Conference7th IEEE International Conference on Cyber Security and Cloud Computing and 6th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2020
Country/TerritoryUnited States
CityNew York
Period1/08/203/08/20

Keywords

  • Edge computing
  • Fault detection
  • Resource access control
  • Resource isolation
  • Robot operating system

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