Student session:power-saving integrated task scheduling in multicore and hybrid memory environment

Yewon Jo, Suhyeon Yoo, Hyokyung Bahn

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

Abstract

A new task scheduling algorithm that schedules mixed task set consisting of real-time and interactive tasks is presented. Our algorithm aims at minimizing the power consumption of the system with the reasonable response time of interactive tasks as well as the deadline guarantees of real-time tasks. Experimental results show that the proposed algorithm improves the power consumption by 23% on average.

Original languageEnglish
Title of host publication2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728144030
DOIs
StatePublished - Aug 2020
Event26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020 - Virtual, Gangnueng, Korea, Republic of
Duration: 19 Aug 202021 Aug 2020

Publication series

Name2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020

Conference

Conference26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020
Country/TerritoryKorea, Republic of
CityVirtual, Gangnueng
Period19/08/2021/08/20

Keywords

  • Dynamic Voltage Scaling
  • Genetic Algorithm
  • Hybrid Memory
  • Power-saving
  • Real-time scheduling

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