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Document type:
Forschungsdaten 
Publication date:
28.04.2021 
Responsible:
Mohan, Nitinder 
Authors:
Corneo, Lorenzo; Mohan, Nitinder; Zavodovski, Aleksandr; Wong, Walter; Rohner, Christian; Gunningberg, Per; Kangasharju, Jussi 
Author affiliation:
TUM 
Publisher:
TUM 
Title:
(How Much) Can Edge Computing Change Network Latency? 
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)
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rsync rsync://m1609139@dataserv.ub.tum.de/m1609139/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0