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Resources & Documentation

Access comprehensive resources including research papers, presentations, source code, and citation information for academic and research use.

Research Publications

Academic papers and research documentation

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Research Paper

Read the full paper published at SIGMETRICS 2024. The paper provides comprehensive technical details about Nautilus's methodology, validation, and results.

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Media & Presentations

Video presentations and accessible overviews

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Video Presentation

Watch the video summary recording on Nautilus that explains our approach to cross-layer mapping of submarine cables and IP links. This video provides an overview of the methodology and key findings.

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Blog Post

Read the blog post that provides an accessible overview of Nautilus and its importance for understanding the undersea Internet backbone infrastructure.

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Development & Code

Source code and implementation details

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Source Code

Access the complete Nautilus codebase on GitLab. The repository includes implementation details, usage instructions, and mapping datasets. Nautilus is open source and available for research use.

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How to Cite Nautilus

Use the citation formats below when referencing Nautilus in your research or publications.

BibTeX Format:
@article{ramanathan2023nautilus,
title={Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links},
author={Ramanathan, Alagappan and Jyothi, Sangeetha Abdu},
journal={Proceedings of the ACM on Measurement and Analysis of Computing Systems},
volume={7},
number={3},
pages={1--34},
year={2023},
publisher={ACM New York, NY, USA}
}
ACM Reference Format:
Alagappan Ramanathan and Sangeetha Abdu Jyothi. 2023. Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links. Proc. ACM Meas. Anal. Comput. Syst. 7, 3, Article 46 (December 2023), 34 pages. https://doi.org/10.1145/3626777
Plain Text:
Ramanathan, A., & Jyothi, S. A. (2023). Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links. Proceedings of the ACM on Measurement and Analysis of Computing Systems, 7(3), 1-34.