Privacy preserving digital twin knowledge sharing for multi-domain networks

View/Open
Cita com:
hdl:2117/424691
Document typeConference report
Defense date2024
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder
ProjectSEASON - SElf-mAnaged Sustainable high-capacity Optical Networks (EC-HE-101096120)
AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G (AEI-PID2020-114135RB-I00)
AI-POWERED INTENT-BASED PACKET AND OPTICAL TRANSPORT NETWORKS AND EDGE AND CLOUD COMPUTING FOR BEYOND 5G (AEI-PID2020-114135RB-I00)
Abstract
Knowledge sharing techniques among OCATA optical layer digital twin instances are proposed for multi-domain scenarios. Intra-domain model transformations are performed to guarantee privacy of intra-domain topology. Remarkable accuracy to estimate multi-domain lightpaths QoT is shown.
CitationRuiz, M.; Velasco, L. Privacy preserving digital twin knowledge sharing for multi-domain networks. A: Optical Fiber Communications Conference and Exhibition. "2024 Optical Fiber Communications Conference and Exhibition (OFC): San Diego, California, USA, 24-28 March 2024: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2024. ISBN 979-8-3503-7758-3. DOI 10.1364/OFC.2024.W1C.3 .
ISBN979-8-3503-7758-3
Publisher versionhttps://ieeexplore.ieee.org/document/10527143
Files | Description | Size | Format | View |
---|---|---|---|---|
[OFC]+modelSharing.pdf | 600,2Kb | View/Open |