Proactive and AoI-aware Failure Recovery for Stateful NFV-enabled Zero-Touch 6G Networks: Model-Free DRL Approach

Author:

Shaghaghi Amirhossein,Zakeri Abolfazl,Mokari Nader,Javan Mohammad Reza,Behdadfar Mohammad,Jorswieck Eduard A

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 15 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. Accelerator: an intent-based intelligent resource-slicing scheme for SFC-based 6G application execution over SDN- and NFV-empowered zero-touch network;Frontiers in Communications and Networks;2024-07-04

2. DeepVNP:Virtual Network Placing with Deep Reinforcement Learning in Industrial IoT;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

3. Probabilistic Fault-Tolerant Robust Traffic Grooming in OTN-over-DWDM Networks;2024 20th International Conference on the Design of Reliable Communication Networks (DRCN);2024-05-06

4. Zero-touch networks: Towards next-generation network automation;Computer Networks;2024-04

5. Automated Pricing-based Provisioning of SDN/NFV Services in Distributed Multi-access Edge Computing using Cooperative Multi-Agent Deep Reinforcement Learning;2023 10th International Conference on Dependable Systems and Their Applications (DSA);2023-08-10

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