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- Title:
Rusty Clusters? Dusting an IPv6 Research Foundation
- Document type:
- Forschungsdaten
- Publication date:
- 16.09.2022
- Responsible:
- Zirngibl, Johannes
- Authors:
- Zirngibl, Johannes; Steger, Lion; Sattler, Patrick; Gasser*, Oliver ; Carle, Georg; Sattler, Patrick
- Author affiliation:
- TUM ; *Max Planck Institute for Informatics
- Publisher:
- TUM
- Identifier:
- doi:10.14459/2022mp1686542
- End date of data production:
- 19.05.2022
- Subject area:
- DAT Datenverarbeitung, Informatik
- Resource type:
- Experimente und Beobachtungen / experiments and observations; Statistik und Referenzdaten / statistics and reference data; Logfiles und Nutzungsdaten / log files and usage data; Textdokumente / text documents
- Data type:
- Texte / texts; Tabellen / tables
- Other data type:
- CSV Daten und andere Datentypen / CSV data and other data types
- Description:
- Evaluation and extension of the IPv6 Hitlist service. The data contains measurement input and output files with Jupyter notebooks and scripts used for analyses. It covers detailed analyses of new sources, aliased prefixes and the impact of the Great Firewall of China on the service.
- Links:
Additional information, updates to data and tools, and daily IPv6 hitlists can be found at https://ipv6hitlist.github.io
This dataset relates to the publication: https://doi.org/10.1145/3517745.3561440- Technical remarks:
- View and download (462 GB total, 6812 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1686542):
rsync rsync://m1686542@dataserv.ub.tum.de/m1686542/ - Language:
- en
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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