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Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks
Huang,Liang1; Zhang,Luxin2; Yang,Shicheng2; Qian,Li Ping2; Wu,Yuan3
2021-05
Source PublicationIEEE Communications Letters
ISSN1089-7798
Volume25Issue:5Pages:1568 - 1572
Abstract

Deep learning-based algorithms provide a promising solution to efficiently generate offloading decisions in mobile edge computing (MEC) networks. However, considering dynamic MEC devices or offloading tasks, most of them require large-scale training data and long training time to retrain the deep neural networks (DNNs). In this letter, we propose a MEta-Learning-based computation Offloading (MELO) algorithm for dynamic computation tasks in MEC networks. Specifically, it learns from historical MEC task scenarios and adapts to a new MEC task scenario with a few training samples. Numerical results show that the proposed algorithm can adapt to a new MEC task scenario and achieve 99% accuracy via 1-step fine-tuning using only 10 training samples.

KeywordComputation Offloading Computational Modeling Deep Learning Delays Heuristic Algorithms Meta-learning Mobile-edge Computing Servers Task Analysis Training Wireless Communication
DOI10.1109/LCOMM.2020.3048075
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaTelecommunications
WOS SubjectTelecommunications
WOS IDWOS:000648333800037
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Scopus ID2-s2.0-85099108295
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Citation statistics
Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorQian,Li Ping
Affiliation1.College of Computer Science and Technology, Zhejiang University of Technology, Hanghzou, China
2.College of Information Engineering, Zhejiang University of Technology, Hanghzou, China
3.State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China University of Macau, Macao, China
Recommended Citation
GB/T 7714
Huang,Liang,Zhang,Luxin,Yang,Shicheng,et al. Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks[J]. IEEE Communications Letters,2021,25(5):1568 - 1572.
APA Huang,Liang,Zhang,Luxin,Yang,Shicheng,Qian,Li Ping,&Wu,Yuan.(2021).Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks.IEEE Communications Letters,25(5),1568 - 1572.
MLA Huang,Liang,et al."Meta-Learning based Dynamic Computation Task Offloading for Mobile Edge Computing Networks".IEEE Communications Letters 25.5(2021):1568 - 1572.
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