Deep learning-driven multi-objective dynamic switch migration in software defined networking (SDN)/network function virtualization (NFV)-based 5G networks-Reference-Cited by-同舟云学术

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Deep learning-driven multi-objective dynamic switch migration in software defined networking (SDN)/network function virtualization (NFV)-based 5G networks

Published:2023-10 Issue: Volume:125 Page:106714
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Vaezpour Elaheh^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference45 articles.

1. Abadi, M., et al., 2016. Tensorflow: A system for large-scale machine learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI), Savannah, GA, USA. pp. 265–283.

2. Fractional switch migration in multi-controller software-defined networking;Al-Tam;Comput. Netw.,2019

3. Load migration in distributed sdn controllers;Beiruti,2020

4. Convex Optimization;Boyd,2004

5. Switch migration scheduling in distributed SDN controllers;Buckley,2022

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. Artificial intelligence-enhanced signal detection technique for beyond fifth generation networks;Computers and Electrical Engineering;2024-11

2. Game theory-based switch migration strategy for satellite networks;Computer Communications;2024-05

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