Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach-Reference-Cited by-同舟云学术

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Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach

Published:2022-03 Issue: Volume:128 Page:333-348
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Song Fuhong,Xing Huanlai^ORCID,Wang Xinhan,Luo Shouxi,Dai Penglin,Li Ke

Funder

China Scholarship Council

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference45 articles.

1. Ultrasound proximity networking on smart mobile devices for IoT applications;Novak;IEEE Internet Things J.,2019

2. An application placement technique for concurrent IoT applications in edge and fog computing environments;Goudarzi;IEEE Trans. Mob. Comput.,2020

3. State-of-charge balancing of lithium-ion batteries with state-of-health awareness capability;Xia;IEEE Trans. Ind. Appl.,2021

4. Mobile edge computing: a survey on architecture and computation offloading;Mach;IEEE Commun. Surv. Tutor.,2017

5. Joint communication, computation, caching, and control in big data multi-access edge computing;Ndikumana;IEEE Trans. Mob. Comput.,2020

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3. Multi-objective task offloading for highly dynamic heterogeneous Vehicular Edge Computing: An efficient reinforcement learning approach;Computer Communications;2024-09

4. Multi-objective optimization algorithm for multi-workflow computation offloading in resource-limited IIoT;Swarm and Evolutionary Computation;2024-08

5. Priority-based DAG task offloading and secondary resource allocation in IoT edge computing environments;Computing;2024-07-29

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