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JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance
dc.contributor.authorNoetzold, Darlan
dc.contributor.authorde Moraes Rossetto, Anubis Graciela
dc.contributor.authorSilva, Luis Augusto 
dc.contributor.authorCrocker, Paul
dc.contributor.authorLeithardt, Valderi R.Q.
dc.date.accessioned2026-02-19T11:39:30Z
dc.date.available2026-02-19T11:39:30Z
dc.date.issued2024
dc.identifier.citationDarlan Noetzold, Anubis Graciela de Moraes Rossetto, Luis Augusto Silva, Paul Crocker, Valderi Reis Quietinho Leithardt, JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance, SoftwareX, Volume 28, 2024, 101933, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2024.101933. (https://www.sciencedirect.com/science/article/pii/S2352711024003030)es_ES
dc.identifier.issn2352-7110
dc.identifier.urihttp://hdl.handle.net/10366/169914
dc.description.abstract[EN]This research presents software for empirically analyzing Java Virtual Machine (JVM) parameter configurations to enhance web application performance. Using tools like JMeter and cAdvisor in a controlled hardware environment, it collects and analyzes performance metrics. Tailored JVM settings for high request loads improved CPU efficiency by 20% and reduced memory usage by 15% compared to standard configurations. For I/O intensive operations with large files, optimized JVM configurations decreased response times by 30% and CPU usage by 25%. These findings highlight the impact of tailored JVM settings on application responsiveness and resource management, providing valuable guidance for developers and engineers.es_ES
dc.format.mimetypeapplication/pdf
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectJVM optimizationes_ES
dc.subjectGarbage collectiones_ES
dc.subjectPerformance metricses_ES
dc.subjectResource managementes_ES
dc.subjectWeb application efficiencyes_ES
dc.titleJVM optimization: An empirical analysis of JVM configurations for enhanced web application performancees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.softx.2024.101933es_ES
dc.subject.unesco1203 Ciencia de los ordenadoreses_ES
dc.identifier.doi10.1016/J.SOFTX.2024.101933
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleSoftwareXes_ES
dc.volume.number28es_ES
dc.page.initial101933es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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