Login
Document type:
Forschungsdaten
Publication date:
28.04.2021
Responsible:
Mohan, Nitinder
Author affiliation:
TUM
Publisher:
TUM
Title:
(How Much) Can Edge Computing Change Network Latency?
Identifier:
Time of production:
10.2020
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:
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
Method of data assessment:
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.
Key words:
Internet graph, Cloud, Edge computing; RIPE Atlas; Cloud connectivity; Internet measurements
Technical remarks:
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):
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/ Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
BibTeX