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Title PePa Ping Dataset: Comprehensive Contextualization of Periodic Passive Ping in Wireless Networks
Authors Diego Madariaga, Lucas Torrealba, Javier Madariaga, Javier Bustos-Jiménez, Benjamin Bustos
Publication date 2021
Abstract Among all Internet Quality of Service (QoS) indicators,
Round-trip time (RTT), jitter and packet loss have been thoroughly studied
due to their great impact on the overall network's performance and the
Quality of Experience (QoE) perceived by the users. Considering that, we
managed to generate a real-world dataset with a comprehensive
contextualization of these important quality indicators by passively
monitoring the network in user-space. To generate this dataset, we first
developed a novel Periodic Passive Ping (PePa Ping) methodology for Android
devices. Contrary to other works, PePa Ping periodically obtains RTT,
jitter, and number of lost packets of all TCP connections. This passive
approach relies on the implementation of a local VPN server residing inside
the client device to manage all Internet traffic and obtain QoS information
of the connections established. The collected QoS indicators are provided
directly by the Linux kernel, and therefore, they are exceptionally close to
real QoS values experienced by users' devices. Additionally, the PePa Ping
application continuously measured other indicators related to each
individual network flow, the state of the device, and the state of the
Internet connection (either WiFi or Mobile). With all the collected
information, each network flow can be precisely linked to a set of
environmental data that provides a comprehensive contextualization of each
individual connection.
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Pages 274-280
Conference name ACM Multimedia Systems Conference
Publisher ACM Press (New York, NY, USA)
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