Login
- Titel:
(How Much) Can Edge Computing Change Network Latency?
- Dokumenttyp:
- Forschungsdaten
- Veröffentlichungsdatum:
- 28.04.2021
- Verantwortlich:
- Mohan, Nitinder
- Autorinnen / Autoren:
- Corneo, Lorenzo; Mohan, Nitinder; Zavodovski, Aleksandr; Wong, Walter; Rohner, Christian; Gunningberg, Per; Kangasharju, Jussi
- Institutionszugehörigkeit:
- TUM
- Herausgeber:
- TUM
- Identifikator:
- doi:10.14459/2020mp1609139
- Enddatum der Datenerzeugung:
- 10.2020
- 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 a network graph of cloud connectivity within the USA. The graph is constructed from Traceroute measurements from RIPE ATLAS probes to ten major cloud providers operating in the USA -- Google, Amazon EC2, Microsoft, Digital Ocean, Linode, Alibaba and Vultr, Amazon Lightsail, Oracle and IBM.
- Beschreibung:
- Internet graph for cloud datacenter to user interconnections collected over RIPE Atlas. The dataset accompanies research article “(How Much) Can Edge Computing Change Network Latency?” accepted at IFIP Networking 2021
- Schlagworte:
- Internet graph, Cloud, Edge computing; RIPE Atlas; Cloud connectivity; Internet measurements
- Technische Hinweise:
- View and download (5.3 GB total, 26 files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1609139):
rsync rsync://m1609139@dataserv.ub.tum.de/m1609139/ - Sprache:
- en
- Rechte:
- by, http://creativecommons.org/licenses/by/4.0
BibTeX