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- Titel:
Pruning Edge Research with Latency Shears
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 28.09.2020
- Verantwortlich:
- Mohan, Nitinder
- Autorinnen / Autoren:
- Corneo, Lorenzo; Mohan, Nitinder; Zavodovski, Aleksandr; Bayhan, Suzan; Wong, Walter; Kangasharju, Jussi
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2020mp1574595
- Enddatum der Datenerzeugung:
- 20.09.2020
- 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 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.
- Beschreibung:
- 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
- Links:
- https://dl.acm.org/doi/10.1145/3422604.3425943
- Schlagworte:
- Cloud, Edge computing; RIPE Atlas; Cloud connectivity; Internet measurements
- Technische Hinweise:
- 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/ - Sprache:
- de
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
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