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- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 01.10.2021
- Verantwortlich:
- Mohan, Nitinder
- Autorinnen / Autoren:
- Mohan, Nitinder; Dang, The Khang; Corneo, Lorenzo; Zavodovski, Aleksandr; Ott, Jörg; Kangasharju, Jussi
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Titel:
- Cloudy with a Chance of Short RTTs: Analyzing Cloud Connectivity in the Internet
- Identifikator:
- doi:10.14459/2021mp1624200
- Enddatum der Datenerzeugung:
- 30.05.2021
- Fachgebiet:
- DAT Datenverarbeitung, Informatik
- Quellen der Daten:
- Experimente und Beobachtungen / experiments and observations; Textdokumente / text documents
- Datentyp:
- Texte / texts; Tabellen / tables; Datenbanken / data bases
- Methode der Datenerhebung:
- The dataset includes PING and Traceroute measurements from 115,000+ Speedchecker probes in 140+ countries to 195 datacenters of ten major cloud providers, i.e. Google, Amazon EC2, Microsoft, Digital Ocean, Linode, Alibaba and Vultr, Amazon Lightsail, Oracle and IBM. The data collection lasted from November 2020 to May 2021.
- Beschreibung:
- Cloud datacenter to user connectivity dataset collected over Speedchecker platform. The dataset accompanies research article “Cloudy with a Chance of Short RTTs: Analyzing Cloud Connectivity in the Internet” accepted at ACM Internet Measurements Conference (IMC) 2021
- Links:
- This dataset relates to the publication: https://doi.org/10.1145/3487552.3487854
- Schlagworte:
- Cloud, Edge computing; Speedchecker; Cloud connectivity; Cloud Reachability; Internet measurements
- Technische Hinweise:
- View and download (1,33 GB total, 4 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1624200):
rsync rsync://m1624200@dataserv.ub.tum.de/m1624200/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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