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

Yewon Jo; Suhyeon Yoo; Hyokyung Bahn

doi:10.1109/RTCSA50079.2020.9203632

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

Yewon Jo, Suhyeon Yoo, Hyokyung Bahn

Department of Computer Science & Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728144030
DOIs	https://doi.org/10.1109/RTCSA50079.2020.9203632
State	Published - Aug 2020
Event	26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020 - Virtual, Gangnueng, Korea, Republic of Duration: 19 Aug 2020 → 21 Aug 2020

Publication series

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

Conference

Conference	26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020
Country/Territory	Korea, Republic of
City	Virtual, Gangnueng
Period	19/08/20 → 21/08/20

Bibliographical note

Funding Information:
This work was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (N0001111, Innovative Engineering Education)

Publisher Copyright:
© 2020 IEEE.

Keywords

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

Access to Document

10.1109/RTCSA50079.2020.9203632

Cite this

Jo, Y., Yoo, S., & Bahn, H. (2020). Student session:power-saving integrated task scheduling in multicore and hybrid memory environment. In 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020 Article 9203632 (2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTCSA50079.2020.9203632

Jo, Yewon ; Yoo, Suhyeon ; Bahn, Hyokyung. / Student session:power-saving integrated task scheduling in multicore and hybrid memory environment. 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020).

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title = "Student session:power-saving integrated task scheduling in multicore and hybrid memory environment",

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. ",

keywords = "Dynamic Voltage Scaling, Genetic Algorithm, Hybrid Memory, Power-saving, Real-time scheduling",

author = "Yewon Jo and Suhyeon Yoo and Hyokyung Bahn",

note = "Funding Information: This work was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (N0001111, Innovative Engineering Education) Publisher Copyright: {\textcopyright} 2020 IEEE.; 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020 ; Conference date: 19-08-2020 Through 21-08-2020",

year = "2020",

month = aug,

doi = "10.1109/RTCSA50079.2020.9203632",

language = "English",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

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Jo, Y, Yoo, S & Bahn, H 2020, Student session:power-saving integrated task scheduling in multicore and hybrid memory environment. in 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020., 9203632, 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020, Institute of Electrical and Electronics Engineers Inc., 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020, Virtual, Gangnueng, Korea, Republic of, 19/08/20. https://doi.org/10.1109/RTCSA50079.2020.9203632

Student session:power-saving integrated task scheduling in multicore and hybrid memory environment. / Jo, Yewon; Yoo, Suhyeon; Bahn, Hyokyung.
2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9203632 (2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yoo, Suhyeon

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N1 - Funding Information: This work was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (N0001111, Innovative Engineering Education) Publisher Copyright: © 2020 IEEE.

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N2 - 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.

AB - 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.

KW - Dynamic Voltage Scaling

KW - Genetic Algorithm

KW - Hybrid Memory

KW - Power-saving

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M3 - Conference contribution

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T3 - 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020

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

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 August 2020 through 21 August 2020

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Jo Y, Yoo S, Bahn H. Student session:power-saving integrated task scheduling in multicore and hybrid memory environment. In 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9203632. (2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2020). doi: 10.1109/RTCSA50079.2020.9203632

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

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