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Document type:
Forschungsdaten 
Publication date:
01.10.2021 
Authors:
Mohan, Nitinder; Dang, The Khang; Corneo, Lorenzo; Zavodovski, Aleksandr; Ott, Jörg; Kangasharju, Jussi 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
Cloudy with a Chance of Short RTTs: Analyzing Cloud Connectivity in the Internet 
Time of production:
30.05.2021 
Subject area:
DAT Datenverarbeitung, Informatik 
Resource type:
Experimente und Beobachtungen / experiments and observations; Textdokumente / text documents 
Data type:
Texte / texts; Tabellen / tables; Datenbanken / data bases 
Description:
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 
Method of data assessment:
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. 
Links:
This dataset relates to the publication: https://doi.org/10.1145/3487552.3487854 
Key words:
Cloud, Edge computing; Speedchecker; Cloud connectivity; Cloud Reachability; Internet measurements 
Technical remarks:
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rsync rsync://m1624200@dataserv.ub.tum.de/m1624200/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0