Resilience and load balancing in Fog networks: A Multi-Criteria Decision Analysis approach-Reference-Cited by-同舟云学术

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Resilience and load balancing in Fog networks: A Multi-Criteria Decision Analysis approach

Published:2023-09 Issue: Volume:101 Page:104893
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Ebrahim Maad^ORCID,Hafid Abdelhakim^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Fonds Québécois de la Recherche sur la Nature et les Technologies

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference56 articles.

1. A survey of fog computing: Concepts, applications and issues;Yi,2015

2. Data security and privacy in fog computing;Guan;IEEE Netw.,2018

3. Fog computing architectures: A reference for practitioners;Antonini;IEEE Internet Things Mag.,2019

4. Context-aware distribution of fog applications using deep reinforcement learning;Wang,2020

5. Vertical workflows: Service orchestration across cloud & edge resources;Rana,2018

Cited by 6 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. Multi-Agent Dynamic Fog Service Placement Approach;Future Internet;2024-07-13

2. Towards Sustainable Cloud Computing: Load Balancing with Nature-Inspired Meta-Heuristic Algorithms;Electronics;2024-06-30

3. Multi-criteria Rank Based Geo-distributed Load Balancing for Cloud Computing;2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE);2024-02-22

4. A Review Load balancing algorithms in Fog Computing;BIO Web of Conferences;2024

5. Privacy-aware load balancing in fog networks: A reinforcement learning approach;Computer Networks;2023-12

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