Datasets
Research datasets I've curated and published for the community.
AS Peering Policy Dataset
Autonomous Systems (ASes) on the Internet engage in settlement free peering to enhance connectivity, reduce transit costs, and improve network performance by shortening traffic paths. ASes interested in peering typically outline their requirements, restrictions, preferences, and routing practices in policy documents. These documents offer valuable insights into the complexities of peering practices.
However, the lack of a standardized structure for these policy documents complicates their analysis. To address this challenge, we used a natural language processing (NLP) based methodology to extract and organize information from these documents into a structured dataset, making it readily available for analysis and modelling.
Citation
To cite this dataset, please use:
@inproceedings{thodi2024imc,
author = {Thodi, Martin and Chavula, Josiah and Phokeer, Amreesh},
title = {Poster: A Dataset on Peering Policies of Autonomous Systems},
year = {2024},
isbn = {9798400705922},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3646547.3689667},
doi = {10.1145/3646547.3689667},
booktitle = {Proceedings of the 2024 ACM on Internet Measurement Conference},
pages = {761–762},
location = {Madrid, Spain},
series = {IMC '24}
}