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PUBLICATIONS

Enhancing Network Data Plane Analysis with Native Graph Database

Published

Author(s)

Amar Abane, Abdella Battou, Mheni Merzouki

Abstract

As modern networks grow in complexity, ensuring their reliability and security becomes increasingly vital. Data plane analysis is a key process for verifying network behavior, but traditional data plane analysis tools face challenges in extensibility, customization, and interoperability. This paper explores the potential of implementing a data plane analysis system on a general-purpose native graph database, to create a more uniform and insightful approach to network verification and analysis. Using the graph database query language and built-in graph algorithms, we simplify the network forwarding analysis while enhancing its features. Our study offers practical insights into managing complex networks, promising more efficient and intuitive tools on the horizon.
Proceedings Title
NOMS 2024-2024 IEEE Network Operations and Management Symposium
Conference Dates
May 6-10, 2024
Conference Location
Seoul, KR
Pub Type
Conferences

Download Paper

https://doi.org/10.1109/NOMS59830.2024.10575228
Local Download

Keywords

network management, data plane verification, knowledge graph, SDN, Neo4j, graph database, graph algorithms
Software research, Software defined and virtual networks, Next generation networks, Networking, Network test and measurement, Network security and robustness, Network management and monitoring and Information technology

Citation

Abane, A. , Battou, A. and Merzouki, M. (2024), Enhancing Network Data Plane Analysis with Native Graph Database, NOMS 2024-2024 IEEE Network Operations and Management Symposium, Seoul, KR, [online], https://doi.org/10.1109/NOMS59830.2024.10575228, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957226 (Accessed October 1, 2025)

Issues

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Created July 3, 2024
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