A research on weight adjustable dynamic scheduling strategy

Tianrui Tu, Jianmei Song, Qingzhong Jia

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

Abstract

The complexity of embedded system has been increasing for achieving more intelligent work, which means more tasks need to be finished and the scheduling strategy based on one task character can't satisfy the cost of system. This paper introduces a strategy that focus on both task's time and value characters, and their weight in priority can be adjusted when the load of system changed to improve system performance. Compared with the performances of EDF (Earliest Deadline First), HVF (Highest Value First) and EDV (Earliest Deadline Value), this strategy could improve the system total value and the critical priority task's achieving rate.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1320-1323
Number of pages4
ISBN (Electronic)9781538681787
DOIs
Publication statusPublished - May 2019
Event8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 - Chongqing, China
Duration: 24 May 201926 May 2019

Publication series

NameProceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019

Conference

Conference8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019
Country/TerritoryChina
CityChongqing
Period24/05/1926/05/19

Keywords

  • Dynamic scheduling strategy
  • Priority
  • Real-time tasks
  • Weight adjustable

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