Please use this identifier to cite or link to this item: doi:10.22028/D291-48299
Title: PerfVis+: From Timestamps to Insight through Integration of Visual and Statistical Analysis
Author(s): Böhmer, Marlene
Herfet, Thorsten
Language: English
Title: Advances in Science, Technology and Engineering Systems Journal
Volume: 10
Issue: 6
Pages: 77-87
Publisher/Platform: Astes
Year of Publication: 2025
Free key words: Network Measurement
Visualization Tools
Timestamp Visualization
Statistical Network Analysis
Protocol Evaluation
5G Performance
DDC notations: 004 Computer science, internet
Publikation type: Journal Article
Abstract: Complex networked systems provide a cornucopia of network statistics, many of which relate to the temporal behaviour of subsystems, devices, or even individual protocol layers. Different and flexible visualizations can play a crucial role in discovering and making patterns, relations, and trends tangible. We developed PerfVis, a tool that visualizes timestamp data to aid in detecting patterns and changes in the data. Although its measurement capabilities are designed for network transmission measurements, we believe that its analysis part can also be used for other research fields. This paper extends PerfVis from a visualization tool focused on a single type of plot to a comprehensive analyser for timestamp data. It is suitable for evaluating complex systems and analysing protocols. In particular, we integrate statistical output, customizable sending patterns, and inclusion of external data sources, broadening PerfVis’s applicability in research and operations. Case studies highlight the benefits these extensions bring and how the tool can help analyse the system behaviour of a real 5G network and the protocol behaviour of the Two-Way Active Measurement Protocol, another established network measurement tool.
DOI of the first publication: 10.25046/aj100607
URL of the first publication: https://dx.doi.org/10.25046/aj100607
Link to this record: urn:nbn:de:bsz:291--ds-482998
hdl:20.500.11880/42241
http://dx.doi.org/10.22028/D291-48299
ISSN: 2415-6698
Date of registration: 20-Jul-2026
Faculty: MI - Fakultät für Mathematik und Informatik
Department: MI - Informatik
Professorship: MI - Prof. Dr. Thorsten Herfet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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