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Adaptive task offloading over wireless in mobile edge computing

Authors:

Xiaojie Zhang,

Saptarshi DebroyAuthors Info & Claims

SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing

Pages 323 - 325

https://doi.org/10.1145/3318216.3363328

Published: 07 November 2019 Publication History

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Abstract

In energy-aware mobile edge computing systems, offloading real-time application tasks to remote edge nodes may become counter-productive as frequent fluctuations in wireless channels that are used for task offloading cause overall task execution time to increase. In this paper, we propose an adaptive task offloading algorithm to optimize and balance energy consumption at end-devices and overall task execution time.

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Feng BLuo WLiu FZhu J(2024)Computing Resource Allocation Model Based on Local Device Power in MEC2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)10.1109/IAEAC59436.2024.10503633(81-85)Online publication date: 15-Mar-2024
https://doi.org/10.1109/IAEAC59436.2024.10503633
Li CXiao J(2024)Application Research of Edge Computing in Airborne Networks AlgorithmProceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control10.1007/978-981-97-3332-3_40(448-457)Online publication date: 18-Jun-2024
https://doi.org/10.1007/978-981-97-3332-3_40
Adeniyi OSadiq APillai PTaheir MKaiwartya O(2023)Proactive Self-Healing Approaches in Mobile Edge Computing: A Systematic Literature ReviewComputers10.3390/computers1203006312:3(63)Online publication date: 13-Mar-2023
https://doi.org/10.3390/computers12030063
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Adaptive task offloading over wireless in mobile edge computing

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Published In

SEC '19: Proceedings of the 4th ACM/IEEE Symposium on Edge Computing

November 2019

455 pages

ISBN:9781450367332

DOI:10.1145/3318216

General Chairs:
Songqing Chen
George Mason University
,
Ryokichi Onishi
Toyota
,
Program Chairs:
Ganesh Ananthanarayanan
Microsoft Research
,
Qun Li
College of William & Mary

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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IEEE-CS\DATC: IEEE Computer Society

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Association for Computing Machinery

New York, NY, United States

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Published: 07 November 2019

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SEC '19: The Fourth ACM/IEEE Symposium on Edge Computing

November 7 - 9, 2019

Virginia, Arlington

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SEC '19 Paper Acceptance Rate 20 of 59 submissions, 34%;

Overall Acceptance Rate 40 of 100 submissions, 40%

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https://doi.org/10.1109/IAEAC59436.2024.10503633
Li CXiao J(2024)Application Research of Edge Computing in Airborne Networks AlgorithmProceedings of 2023 7th Chinese Conference on Swarm Intelligence and Cooperative Control10.1007/978-981-97-3332-3_40(448-457)Online publication date: 18-Jun-2024
https://doi.org/10.1007/978-981-97-3332-3_40
Adeniyi OSadiq APillai PTaheir MKaiwartya O(2023)Proactive Self-Healing Approaches in Mobile Edge Computing: A Systematic Literature ReviewComputers10.3390/computers1203006312:3(63)Online publication date: 13-Mar-2023
https://doi.org/10.3390/computers12030063
Li WLi XLu WLi QZhang YWang J(2023)A Hybrid Workflow Offloading Scheme Based on the IIOT2023 42nd Chinese Control Conference (CCC)10.23919/CCC58697.2023.10240553(2504-2509)Online publication date: 24-Jul-2023
https://doi.org/10.23919/CCC58697.2023.10240553
Zhang XDebroy S(2023)Resource Management in Mobile Edge Computing: A Comprehensive SurveyACM Computing Surveys10.1145/358963955:13s(1-37)Online publication date: 13-Jul-2023
https://dl.acm.org/doi/10.1145/3589639
Ovatman TKurt GYanikomeroglu H(2022)An Accurate Model for Computation Offloading in 6G Networks and a HAPS-Based Case StudyIEEE Open Journal of the Communications Society10.1109/OJCOMS.2022.32174473(1963-1977)Online publication date: 2022
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Fang L(2022)The deployment of smart sharing stadium based on 5G and mobile edge computingWireless Networks10.1007/s11276-021-02855-0Online publication date: 15-Feb-2022
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Fang ZLi XFan R(2021)A Mobile Edge Computing Task Offloading Framework Based on Improved Beetle Antennae Search2021 IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE)10.1109/RASSE53195.2021.9686928(1-6)Online publication date: 12-Dec-2021
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Modelling Task Offloading Mobile Edge Computing

EEDOS: an energy-efficient and delay-aware offloading scheme based on device to device collaboration in mobile edge computing

Delay-Energy Aware Task Offloading and VM Migration Policy for Mobile Edge Computing

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