Mobile networks have become ubiquitous and the primary meansto access the Internet, and the traffic they generate has rapidlyincreased over the last years. The technology and service diversityin mobile networks call for extensive and accurate measurementsto ensure the proper functioning of the networks and rapidly spotimpairments. However, the measurement of mobile networks iscomplicated by their scale, and, thus, expensive, especially due tothe diversity of deployments, technologies, and web services. Inthis paper, we present and provide access to the largest open in-ternational mobile network dataset collected using the MONROEplatform spanning six countries, 27 mobile network operators, and120 measurement nodes. We use them to run measurements tar-geting several web services from January 2018 to December 2019,collecting millions of TCP and UDP flows using these commercialmobile networks. We illustrate the data collection platforms and de-scribe some of the main experiments. Besides a high-level overviewof the dataset, we provide two practical use cases. First, we showhow our data can be used as a proxy for web service performance.Second, we study the content delivery infrastructure of Facebook.

An Open Dataset of Operational Mobile Networks / Safari Khatouni, Ali; Trevisan, Martino; Giordano, Danilo; Rajiullah, Mohammad; Alfredsson, Stefan; Brunstrom, Anna; Midoglu, Cise; Alay, Özgü. - ELETTRONICO. - (2020), pp. 83-90. ((Intervento presentato al convegno MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless [10.1145/3416012.3424619].

An Open Dataset of Operational Mobile Networks

Trevisan, Martino;Giordano, Danilo;
2020

Abstract

Mobile networks have become ubiquitous and the primary meansto access the Internet, and the traffic they generate has rapidlyincreased over the last years. The technology and service diversityin mobile networks call for extensive and accurate measurementsto ensure the proper functioning of the networks and rapidly spotimpairments. However, the measurement of mobile networks iscomplicated by their scale, and, thus, expensive, especially due tothe diversity of deployments, technologies, and web services. Inthis paper, we present and provide access to the largest open in-ternational mobile network dataset collected using the MONROEplatform spanning six countries, 27 mobile network operators, and120 measurement nodes. We use them to run measurements tar-geting several web services from January 2018 to December 2019,collecting millions of TCP and UDP flows using these commercialmobile networks. We illustrate the data collection platforms and de-scribe some of the main experiments. Besides a high-level overviewof the dataset, we provide two practical use cases. First, we showhow our data can be used as a proxy for web service performance.Second, we study the content delivery infrastructure of Facebook.
9781450381192
File in questo prodotto:
File Dimensione Formato  
Mobiwac2020.pdf

accesso aperto

Descrizione: Versione finale
Tipologia: 2. Post-print / Author's Accepted Manuscript
Licenza: PUBBLICO - Tutti i diritti riservati
Dimensione 2.1 MB
Formato Adobe PDF
2.1 MB Adobe PDF Visualizza/Apri
Mobiwac-pub.pdf

non disponibili

Descrizione: Versione Pubblicata
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 1.42 MB
Formato Adobe PDF
1.42 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2853741