Hybrid Learning Assisted Abstraction for Service Performance Assessment Over Multi-Domain Optical Networks

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Abstract

This paper demonstrates the field-trial validation for a novel machine learning-assisted lightpath abstraction strategy in multi-domain optical network scenarios. The proposed abstraction framework shows high accuracy for dynamic optical networks with 0.44 dB estimation error.
Original languageEnglish
Title of host publicationThe Optical Networking and Communication Conference & Exhibition, OFC 2020
PublisherOptical Society of America (OSA)
Publication statusPublished - 15 Mar 2020
EventThe Optical Networking and Communication Conference & Exhibition - San Diego, United States
Duration: 8 Mar 202012 Mar 2020
https://www.ofcconference.org/en-us/home/

Conference

ConferenceThe Optical Networking and Communication Conference & Exhibition
Abbreviated titleOFC 2020
CountryUnited States
CitySan Diego
Period8/03/2012/03/20
Internet address

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    Wang, R., Chen, X., Gao, Z., Yan, S., Nejabati, R., & Simeonidou, D. (2020). Hybrid Learning Assisted Abstraction for Service Performance Assessment Over Multi-Domain Optical Networks. In The Optical Networking and Communication Conference & Exhibition, OFC 2020 Optical Society of America (OSA). https://ieeexplore.ieee.org/document/9083000