Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/32529
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dc.contributor.authorNoetzold, D.-
dc.contributor.authorRossetto, A. G. de M.-
dc.contributor.authorSilva, L. A.-
dc.contributor.authorCrocker, P.-
dc.contributor.authorLeithardt, V. R. Q.-
dc.date.accessioned2024-10-23T08:49:34Z-
dc.date.available2024-10-23T08:49:34Z-
dc.date.issued2024-
dc.identifier.citationNoetzold, D., Rossetto, A. G. de M., Silva, L. A., Crocker, P., & Leithardt, V. R. Q. (2024). JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance. SoftwareX, 28, Article 101933. https://doi.org/10.1016/j.softx.2024.101933-
dc.identifier.issn2352-7110-
dc.identifier.urihttp://hdl.handle.net/10071/32529-
dc.description.abstractThis 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.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT-
dc.relationMCIN/AEI/10.13039/501100011033/FEDER-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04466%2F2020/PT-
dc.relationPID2023-151701OB-C21-
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT-
dc.rightsopenAccess-
dc.subjectJVM optimizationeng
dc.subjectGarbage collectioneng
dc.subjectPerformance metricseng
dc.subjectResource managementeng
dc.subjectWeb application efficiencyeng
dc.titleJVM optimization: An empirical analysis of JVM configurations for enhanced web application performanceeng
dc.typearticle-
dc.peerreviewedyes-
dc.volume28-
dc.date.updated2024-10-22T11:19:32Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1016/j.softx.2024.101933-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologiaspor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsCidades e comunidades sustentáveispor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-106145-
iscte.journalSoftwareX-
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