ETFC: Energy-efficient and deadline-aware task scheduling in fog computing-Reference-Cited by-同舟云学术

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ETFC: Energy-efficient and deadline-aware task scheduling in fog computing

Published:2024-09 Issue: Volume:43 Page:100988
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Pakmehr Amir,Gholipour Majid,Zeinali Esmaeil

Publisher

Elsevier BV

Reference79 articles.

1. Reliable data dissemination for the internet of things using harris hawks optimization;Seyfollahi;Peer to Peer Netw. Appl.,2020

2. Situation-aware dynamic service coordination in an IoT environment;Cheng;IEEE/ACM Trans. Netw.,2017

3. Task offloading in internet of things based on the improved multi-objective aquila optimizer;Nematollahi;SIViP,2024

4. An energy aware task scheduling model using ant-mating optimization in fog computing environment;Ghanavati;IEEE Trans. Serv. Comput.,2020

5. Optimal scheduling of the plug-in electric vehicles aggregator energy and regulation services based on grid to vehicle;Hou;Int. Trans. Electr. Energy Syst.,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. DDoS attack detection techniques in IoT networks: a survey;Cluster Computing;2024-07-26

2. Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review;Knowledge and Information Systems;2024-07-05

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