Retina is an open-source command-line tool that produces rich and complex statistics from real-time communication (RTC) traffic. Starting from raw packet captures, it creates summaries of observed streams with flexible statistics and tracks the evolution of the stream over time. Retina is modular and highly configurable, providing the ability to configure output statistics, temporal resolution as well as many other parameters. Furthermore, if the packet captures are accompanied by application logs, it can reconcile the data and enrich its output with application and QoE-related statistics. Retina helps troubleshoot RTC applications and enables the use of Machine Learning models for traffic classification and Quality of Experience assessment. We believe Retina can be extremely useful for researchers studying RTC traffic and network professionals interested in effective traffic analysis.

Retina: An open-source tool for flexible analysis of RTC traffic / Perna, Gianluca; Markudova, Dena; Trevisan, Martino; Garza, Paolo; Meo, Michela; Munafò, Maurizio. - In: COMPUTER NETWORKS. - ISSN 1389-1286. - ELETTRONICO. - 202:(2022), p. 108637. [10.1016/j.comnet.2021.108637]

Retina: An open-source tool for flexible analysis of RTC traffic

Perna, Gianluca;Markudova, Dena;Trevisan, Martino;Garza, Paolo;Meo, Michela;Munafò, Maurizio
2022

Abstract

Retina is an open-source command-line tool that produces rich and complex statistics from real-time communication (RTC) traffic. Starting from raw packet captures, it creates summaries of observed streams with flexible statistics and tracks the evolution of the stream over time. Retina is modular and highly configurable, providing the ability to configure output statistics, temporal resolution as well as many other parameters. Furthermore, if the packet captures are accompanied by application logs, it can reconcile the data and enrich its output with application and QoE-related statistics. Retina helps troubleshoot RTC applications and enables the use of Machine Learning models for traffic classification and Quality of Experience assessment. We believe Retina can be extremely useful for researchers studying RTC traffic and network professionals interested in effective traffic analysis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2944312