Student Session:Power-Saving Integrated Task Scheduling in Multicore and Hybrid Memory Environment

Yewon Jo, Suhyeon Yoo, H. Bahn
{"title":"Student Session:Power-Saving Integrated Task Scheduling in Multicore and Hybrid Memory Environment","authors":"Yewon Jo, Suhyeon Yoo, H. Bahn","doi":"10.1109/RTCSA50079.2020.9203632","DOIUrl":null,"url":null,"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.","PeriodicalId":38446,"journal":{"name":"International Journal of Embedded and Real-Time Communication Systems (IJERTCS)","volume":"87 1","pages":"1-2"},"PeriodicalIF":0.5000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Embedded and Real-Time Communication Systems (IJERTCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTCSA50079.2020.9203632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
学生会议:多核与混合记忆体环境下的省电整合任务调度
提出了一种新的任务调度算法,对实时任务和交互式任务混合任务集进行调度。我们的算法旨在以合理的交互任务响应时间和实时任务的截止时间保证最小化系统功耗。实验结果表明,该算法平均降低了23%的功耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.70
自引率
14.30%
发文量
17
期刊最新文献
Agnostic Hardware-Accelerated Operating System for Low-End IoT Controlling High-Performance Platform Uncertainties with Timing Diversity The Role of Causality in a Formal Definition of Timing Anomalies Analyzing Fixed Task Priority Based Memory Centric Scheduler for the 3-Phase Task Model On the Trade-offs between Generalization and Specialization in Real-Time Systems
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1