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Passive Monitoring of Network Latency at High Line Rates
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0002-3570-9525
Karlstad University, Faculty of Economic Sciences, Communication and IT (discontinued), Centre for HumanIT. Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013).ORCID iD: 0000-0001-7311-9334
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Ericsson.ORCID iD: 0000-0002-0722-2656
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). Red Hat.ORCID iD: 0000-0001-5241-6815
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2022 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Network latency plays a crucial role for many applications and their perceived quality of experience. With an increasing focus on high network speeds and real time, interactive applications relying on reliable and low latency, the ability to effectively monitor latency is becoming more important than ever. While many available tools rely on active monitoring, this approach relies on traffic injection in the network, which can be a source of latency in itself and have a negative overall network performance impact. This paper presents evolved Passive Ping (ePPing), a tool that leverages eBPF to passively monitor latency of existing network traffic. Preliminary evaluation shows that ePPing delivers RTT reports more reliably and at a lower overhead than other state-of-the-art tools, such as PPing.

Place, publisher, year, edition, pages
2022.
Keywords [en]
passive monitoring, network latency, eBPF, XDP
National Category
Computer and Information Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-98411OAI: oai:DiVA.org:kau-98411DiVA, id: diva2:1836163
Conference
17th Swedish National Computer Networking Workshop (SNCNW 2022), KTH, Stockholm, June 16-17, 2022
Projects
A Holistic AI-driven Networking and Processing Framework for Industrial IoT (AIDA)Building the next generation of programmable networking - Powered by LinuxAvailable from: 2024-02-08 Created: 2024-02-08 Last updated: 2024-03-11Bibliographically approved

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Sundberg, SimonBrunstrom, AnnaFerlin-Reiter, SimoneHøiland-Jørgensen, Toke

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