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Identifying Bottlenecks in a Visualization Platform for Tracing Adaptation Decisions

dc.contributor.authorPfannemüller, Martin
dc.contributor.authorBecker, Christian
dc.contributor.editorKelter, Udo
dc.date.accessioned2023-02-27T13:59:24Z
dc.date.available2023-02-27T13:59:24Z
dc.date.issued2019
dc.description.abstractMeasuring the performance of different operations as part of a software system can help to identify performance bottlenecks. This information can be used to improve the performance of the monitored system. In previous work, we proposed a visualization platform for observing and understanding adaptation decisions in self-adaptive systems. In this paper, we apply Kieker as a monitoring solution to measure the runtime of different operations based on the granularity of methods and tasks. As a result, we identified possibilities for improvements in our implementation.en
dc.identifier.pissn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40481
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 39, Heft 4
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectperformance
dc.subjectbottleneck
dc.subjectvisualization
dc.subjectself-adaptive system
dc.subjectmonitoring
dc.titleIdentifying Bottlenecks in a Visualization Platform for Tracing Adaptation Decisionsen
dc.typeText/Conference Paper
gi.citation.endPage31
gi.citation.publisherPlaceBonn
gi.citation.startPage29
gi.conference.date5.-6. November 2019
gi.conference.locationWürzburg
gi.conference.sessiontitle10th Symposium on Software Performance (SSP)

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