Energy consumption minimization of smart devices for delay-constrained task processing with edge computing

Wonsuk Yoo; Wonsik Yang; Jong Moon Chung

doi:10.1109/ICCE46568.2020.9043049

Energy consumption minimization of smart devices for delay-constrained task processing with edge computing

Wonsuk Yoo, Wonsik Yang, Jong Moon Chung

Department of Electrical and Electronic Engineering

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

7 Citations (Scopus)

Abstract

As high quality real-time service demands on smart device applications are rapidly increasing, offloading the application task to the edge server to reduce total response time is emerging as a key issue. Meanwhile, smart devices are very sensitive to the energy consumption (to maximize the battery lifetime), where various energy consumption schemes have been attempted to minimize the power profile, especially for computationally heavy tasks. In this paper, an energy consumption minimization scheme that adjusts both the offloading ratio and CPU operating frequency of the device based on a Dynamic Voltage and Frequency Scaling (DVFS) technique under delay constraint is proposed. Simulation results show that the proposed scheme minimizes the energy consumption of the device while satisfying the delay requirement.

Original language	English
Title of host publication	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728151861
DOIs	https://doi.org/10.1109/ICCE46568.2020.9043049
Publication status	Published - 2020 Jan
Event	2020 IEEE International Conference on Consumer Electronics, ICCE 2020 - Las Vegas, United States Duration: 2020 Jan 4 → 2020 Jan 6

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
Volume	2020-January
ISSN (Print)	0747-668X

Conference

Conference	2020 IEEE International Conference on Consumer Electronics, ICCE 2020
Country/Territory	United States
City	Las Vegas
Period	20/1/4 → 20/1/6

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICCE46568.2020.9043049

Cite this

Yoo, W., Yang, W., & Chung, J. M. (2020). Energy consumption minimization of smart devices for delay-constrained task processing with edge computing. In 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 [9043049] (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2020-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE46568.2020.9043049

Yoo, Wonsuk ; Yang, Wonsik ; Chung, Jong Moon. / Energy consumption minimization of smart devices for delay-constrained task processing with edge computing. 2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

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title = "Energy consumption minimization of smart devices for delay-constrained task processing with edge computing",

abstract = "As high quality real-time service demands on smart device applications are rapidly increasing, offloading the application task to the edge server to reduce total response time is emerging as a key issue. Meanwhile, smart devices are very sensitive to the energy consumption (to maximize the battery lifetime), where various energy consumption schemes have been attempted to minimize the power profile, especially for computationally heavy tasks. In this paper, an energy consumption minimization scheme that adjusts both the offloading ratio and CPU operating frequency of the device based on a Dynamic Voltage and Frequency Scaling (DVFS) technique under delay constraint is proposed. Simulation results show that the proposed scheme minimizes the energy consumption of the device while satisfying the delay requirement.",

author = "Wonsuk Yoo and Wonsik Yang and Chung, {Jong Moon}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Consumer Electronics, ICCE 2020 ; Conference date: 04-01-2020 Through 06-01-2020",

year = "2020",

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doi = "10.1109/ICCE46568.2020.9043049",

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Yoo, W, Yang, W & Chung, JM 2020, Energy consumption minimization of smart devices for delay-constrained task processing with edge computing. in 2020 IEEE International Conference on Consumer Electronics, ICCE 2020., 9043049, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, vol. 2020-January, Institute of Electrical and Electronics Engineers Inc., 2020 IEEE International Conference on Consumer Electronics, ICCE 2020, Las Vegas, United States, 20/1/4. https://doi.org/10.1109/ICCE46568.2020.9043049

Energy consumption minimization of smart devices for delay-constrained task processing with edge computing. / Yoo, Wonsuk; Yang, Wonsik; Chung, Jong Moon.
2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9043049 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics; Vol. 2020-January).

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

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T1 - Energy consumption minimization of smart devices for delay-constrained task processing with edge computing

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AB - As high quality real-time service demands on smart device applications are rapidly increasing, offloading the application task to the edge server to reduce total response time is emerging as a key issue. Meanwhile, smart devices are very sensitive to the energy consumption (to maximize the battery lifetime), where various energy consumption schemes have been attempted to minimize the power profile, especially for computationally heavy tasks. In this paper, an energy consumption minimization scheme that adjusts both the offloading ratio and CPU operating frequency of the device based on a Dynamic Voltage and Frequency Scaling (DVFS) technique under delay constraint is proposed. Simulation results show that the proposed scheme minimizes the energy consumption of the device while satisfying the delay requirement.

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M3 - Conference contribution

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Yoo W, Yang W, Chung JM. Energy consumption minimization of smart devices for delay-constrained task processing with edge computing. In 2020 IEEE International Conference on Consumer Electronics, ICCE 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9043049. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics). doi: 10.1109/ICCE46568.2020.9043049

Energy consumption minimization of smart devices for delay-constrained task processing with edge computing

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

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