Amar Abane
Research Engineer - National Istitute of Standards and Technology
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Dr. Amar Abane is currently a research engineer at the US National Institute of Standards and Technology (NIST) where he leads the development of the Multiverse project: a research platform for network management and automation. His research activities include network management and evaluation with Digital Twin technologies for IP/Optical networks and quantum networks. Amar is co-supervising a PhD thesis on Generative AI for Digital Twin Networks, and he is an editor with the FGCS journal.
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Smart Network Data Repository With Neo4j Knowledge Graph
In this session, Amar will present a smart data repository design, leveraging the power of Neo4j, to manage the complex network state information efficiently. He will show you how this graph database design, coupled with the Cypher language, natively enables 'what-if' scenarios to assess the impact of configuration changes before they are deployed into the network, and analyses network behavior.
By the end of this session, you will gain insights into a comprehensive, extensible, and multi-level abstraction network representation with Neo4j, which combines data storage and design evaluation. And you'll understand how a Neo4j-based repository can store network state data and evaluates design changes in a single system.
NODES 2023 Sessionize Event
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