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The Hidden Costs of Shared CPU Resources: A Closer Look at Cgroups and QoS

dc.contributor.authorVolpert, Simon
dc.contributor.authorWinkelhofer, Sascha
dc.contributor.authorSeybold, Daniel
dc.contributor.authorDomaschka, Jörg
dc.contributor.authorWesner, Stefan
dc.contributor.editorHerrmann, Andrea
dc.date.accessioned2025-01-08T13:30:59Z
dc.date.available2025-01-08T13:30:59Z
dc.date.issued2024
dc.description.abstractPrevious research has demonstrated that Cgroups CPU isolation, while effective in guaranteeing resource limits, may not fully prevent performance degradation in co-located applications. This paper investigates the underlying causes of this performance drop by examining the impact of Hyper-Threading (HT) and Dynamic Frequency Scaling (DFS). Through controlled experiments using a database workload and a CPU intensive stressor, we analyze the changes in Quality of Service (QoS) isolation when these features are disabled. Our findings reveal the degree to which these mechanisms contribute to the observed performance interference and provide insights into the limitations of relying solely on Cgroups for robust CPU QoS isolation.en
dc.identifier.issn0720-8928
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45532
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSoftwaretechnik-Trends Band 44, Heft 4
dc.relation.ispartofseriesSoftwaretechnik-Trends
dc.subjectperformance
dc.subjectdegradation
dc.subjectCPU
dc.subjectQuality of Service
dc.titleThe Hidden Costs of Shared CPU Resources: A Closer Look at Cgroups and QoSen
dc.typeText/Conference Paper
mci.conference.dateNovember 6-7, 2024
mci.conference.locationLinz, Austria
mci.conference.sessiontitle15th Symposium on Software Performance 2024
mci.reference.pages9-11

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