Neural Combinatorial Optimization for Multiobjective Task Offloading in Mobile Edge Computing

Task offloading is crucial in supporting resource-intensive applications in mobile edge computing. This paper explores multiobjective task offloading, aiming to minimize energy consumption and latency simultaneously. Although learning-based algorithms have been used to address this problem, they tra...

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Veröffentlicht in:	IEEE transactions on vehicular technology Jg. 74; H. 7; S. 10869 - 10880
Hauptverfasser:	Xiao, Xiang-Jie, Wang, Yong, Huang, Pei-Qiu, Wang, Kezhi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Combinatorial analysis Computation offloading Computational modeling Delays Downlink Edge computing encoder-decoder model Encoders-Decoders Energy consumption Finishing Machine learning Mobile computing Mobile edge computing Multi-access edge computing multiobjective Multiple objective analysis neural combinatorial optimization Optimization Preferences Real time Real-time systems Reinforcement learning Servers task offloading Uplink
ISSN:	0018-9545, 1939-9359
Online-Zugang:	Volltext
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