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- Title:
Pruning Edge Research with Latency Shears
- Document type:
- Forschungsdaten
- Publication date:
- 28.09.2020
- Responsible:
- Mohan, Nitinder
- Authors:
- Corneo, Lorenzo; Mohan, Nitinder; Zavodovski, Aleksandr; Bayhan, Suzan; Wong, Walter; Kangasharju, Jussi
- Author affiliation:
- TUM
- Publisher:
- TUM
- Identifier:
- doi:10.14459/2020mp1574595
- End date of data production:
- 20.09.2020
- 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 RIPE Atlas. The dataset accompanies research article “Pruning Edge Research with Latency Shears” accepted at ACM HotNets 2020
- Method of data assessment:
- The dataset includes PING measurements from 3200+ RIPE ATLAS probes to 98 datacenters of seven major cloud providers, i.e. Google, Amazon, Microsoft, Digital Ocean, Linode, Alibaba and Vultr. The data collection lasted from September 2019 to January 2020.
- Links:
- https://dl.acm.org/doi/10.1145/3422604.3425943
- Key words:
- Cloud, Edge computing; RIPE Atlas; Cloud connectivity; Internet measurements
- Technical remarks:
- View and download (1.6 GB total, 6 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1574595):
rsync rsync://m1574595@dataserv.ub.tum.de/m1574595/ - Language:
- de
- Rights:
- by, http://creativecommons.org/licenses/by/4.0
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