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Title:

Tracing the Path to YouTube - A Quantification of Path Lengths and Latencies Toward Content Caches

Responsible:
Doan, Trinh Viet
Authors:
Doan, Trinh Viet; Pajevic, Ljubica; Bajpai, Vaibhav; Ott, Jörg
Author affiliation:
TUM
Publisher:
TUM
Identifier:
doi:10.14459/2018md1447027
End date of data production:
31.05.2018
Subject area:
DAT Datenverarbeitung, Informatik
Resource type:
Statistik und Referenzdaten / statistics and reference data; Logfiles und Nutzungsdaten / log files and usage data
Data type:
Datenbanken / data bases
Description:
Traceroute dataset of IEEE Communications Magazine article "Tracing the Path to YouTube - A Quantification of Path Lengths and Latencies Toward Content Caches", published November 2018 (https://doi.org/10.1109/MCOM.2018.1800132)
Method of data assessment:
scamper, paris-traceroute
Links:

Article  and  repository of dataset analyses

Key words:
Google Global Caches, YouTube, traceroute, SamKnows, IPv6
Technical remarks:
View and download
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1447027):
rsync rsync://m1447027@dataserv.ub.tum.de/m1447027/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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