Logo des Repositoriums
 

Graph-Based Performance Analysis at System- and Application-Level

dc.contributor.authorMüller, Richard
dc.contributor.authorStrempel, Tom
dc.contributor.editorKelter, Udo
dc.date.accessioned2022-11-24T10:42:02Z
dc.date.available2022-11-24T10:42:02Z
dc.date.issued2020
dc.description.abstractThe Kieker plugin for jQAssistant transforms monitored log data into graphs to support software engineers with performance analysis. In this paper, we describe how we have extended and improved this plugin to support performance analysis at system- and application-level and how we have evaluated its correctness and scalability using data from recent experiments. This is a first step to replicate complete experiments in the field of performance analysis using graphs.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/39784
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 40, Heft 3
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectKieker
dc.subjectlog
dc.subjectperformance analysis
dc.subjectexperiment
dc.subjectgraph
dc.titleGraph-Based Performance Analysis at System- and Application-Levelen
dc.typeText/Conference Paper
gi.citation.endPage39
gi.citation.publisherPlaceBonn
gi.citation.startPage37
gi.conference.date44147
gi.conference.locationLeipzig
gi.conference.sessiontitleSymposium on Software Performance (SSP)

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
SSP2020_Mueller.pdf
Größe:
238.55 KB
Format:
Adobe Portable Document Format