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A Graph Database for a Virtualized Network Infrastructure

Summary: Nepal: a model-driven, strongly-typed graph database for SDN/NFV networks and topology. Layered topology (VNFs to hardware), first-class graph path queries, time-travel support for past states, and a layer-over-DB architecture enabling abstraction and flexible labeling. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5548
Venue
SIGMOD
Year
2018
Pagerank
5.5805565e-05
Overall Rank
7,623 | 47.70%
DOI
10.1145/3183713.3190653

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{jamkhedkar_sigmod18,
        title = {{A Graph Database for a Virtualized Network Infrastructure}},
        author = {Jamkhedkar, Pramod and Johnson, Theodore and Kanza, Yaron and Shaikh, Aman and Shankaranarayanan, N. K. and Shkapenyuk, Vladislav},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3190653},
        url = {https://dl.acm.org/doi/10.1145/3183713.3190653},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,550 Reliable Data Distillation on Graph Convolutional Network 2020 SIGMOD 5.8430465e-05
11,626 Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality 2021 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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