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Work-in-Progress: Joint Network and Computing Resource Scheduling for Wireless Networked Control Systems

  • Peng Wu
  • , Chenchen Fu
  • , Minming Li
  • , Yingchao Zhao
  • , Chun Jason Xue
  • , Song Han
  • University of Connecticut
  • City University of Hong Kong
  • Caritas Institute of Higher Education

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

Abstract

Real-time task scheduling for wireless networked control systems provides guarantees for the quality of service. This paper introduces a new model for joint network and computing resource scheduling (JNCRS) in real-time wireless networked control systems. This new end-to-end real-time task model considers a strict execution order of segments including the sensing, the computing and the actuating segment based on the control loop of WNCSs. The general JNCRS problem is proved to be a NP-hard problem. After dividing the JNCRS problem into four subproblems, we propose a polynomial-time optimal algorithm to solve the first subproblem where each segment has unit execution time, by checking the intervals with 100% network resource utilization and modify the deadlines of tasks. To solve the second subproblem where the computing segment is larger than one unit execution time, we define the new timing parameters of each network segment by taking into account the scheduling of the computing segments. We propose a polynomial-time optimal algorithm to check the intervals with the network resource utilization larger than or equal to 100% and modify the timing parameters of tasks based on these intervals.

Original languageEnglish
Title of host publicationProceedings - 39th IEEE Real-Time Systems Symposium, RTSS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-184
Number of pages4
ISBN (Electronic)9781538679074
DOIs
StatePublished - 4 Jan 2019
Externally publishedYes
Event39th IEEE Real-Time Systems Symposium, RTSS 2018 - Nashville, United States
Duration: 11 Dec 201814 Dec 2018

Publication series

NameProceedings - Real-Time Systems Symposium
Volume2018-December
ISSN (Print)1052-8725

Conference

Conference39th IEEE Real-Time Systems Symposium, RTSS 2018
Country/TerritoryUnited States
CityNashville
Period11/12/1814/12/18

Keywords

  • Joint Resource
  • Real-time Scheduling
  • Wireless Networked Control Systems

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