Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > OFC > 2020 > M1A > M1A.2

Flexible Optical Network Enabled Hybrid Recovery for Edge Network with Reinforcement Learning

Meng Lian, Rentao Gu, Yongyao Qu, Zihao Wang, and Yuefeng Ji

Not Accessible

Your library or personal account may give you access

Abstract

The proposed hybrid recovery utilizes flexible optical network with reinforcement learning to recover IP fault for edge network. The testbed experiments indicate, the recovery time is 20% of rerouting-based strategy for a heavy-loaded network.

© 2020 The Author(s)

PDF Article
More Like This
Multi-node Cooperative Recovery against IP node failure Enabled by Flexible Optical Network

Yunxuan Li, Rentao Gu, and Yuefeng Ji
Th2A.19 Optical Fiber Communication Conference (OFC) 2023

Flexible Optical Network Enabled Proactive Cross-layer Restructuring for 5G/B5G Backhaul Network with Machine Learning Engine

Rentao Gu, Yongyao Qu, Meng Lian, Hongbiao Li, Zihao Wang, Yinan Zhu, Qize Guo, Jianjun Yang, Dajiang Wang, and Yuefeng Ji
M3Z.18 Optical Fiber Communication Conference (OFC) 2020

Flexible Edge Nodes enabled by Hybrid Software Defined Optics & Networking

J.J. Vegas Olmos, V. Mehmeri, and I. Tafur Monroy
ASu5G.1 Asia Communications and Photonics Conference (ACP) 2015

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use