Paper published in a book (Scientific congresses and symposiums)
Revealing the Evolution of a Cloud Provider Through its Network Weather Map
Piraux, Maxime; Navarre, Louis; Rybowski, Nicolas et al.
2022In Proc. ACM Internet Measurement Conference
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Keywords :
Cloud infrastructure; network topology; dataset
Abstract :
[en] Researchers often face the lack of data on large operational networks to understand how they are used, how they behave, and sometimes how they fail. This data is crucial to drive the evolution of Internet protocols and develop techniques such as traffic engineering, DDoS detection and mitigation. Companies that have access to measurements from operational networks and services leverage this data to improve the availability, speed, and resilience of their Internet services. Unfortunately, the availability of large datasets, especially collected regularly over a long period of time, is a daunting task that remains scarce in the literature. We tackle this problem by releasing a dataset collected over roughly two years of observations of a major cloud company (OVH). Our dataset, called OVH Weather dataset, represents the evolution of more than 180 routers, 1,100 internal links, 500 external links, and their load percentages in the backbone network over time. Our dataset has a high density with snapshots taken every five minutes, totaling more than 500,000 files. In this paper, we also illustrate how our dataset could be used to study the backbone networks evolution. Finally, our dataset opens several exciting research questions that we make available to the research community.
Disciplines :
Computer science
Author, co-author :
Piraux, Maxime
Navarre, Louis
Rybowski, Nicolas
Bonaventure, Olivier
Donnet, Benoît  ;  Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Algorithmique des grands systèmes
Language :
English
Title :
Revealing the Evolution of a Cloud Provider Through its Network Weather Map
Publication date :
October 2022
Event name :
ACM Internet Measurement Conference
Event date :
Du 25 au 27 octobre
Audience :
International
Main work title :
Proc. ACM Internet Measurement Conference
Publisher :
ACM
Peer reviewed :
Peer reviewed
Available on ORBi :
since 03 October 2022

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