Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/32529
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Noetzold, D. | - |
dc.contributor.author | Rossetto, A. G. de M. | - |
dc.contributor.author | Silva, L. A. | - |
dc.contributor.author | Crocker, P. | - |
dc.contributor.author | Leithardt, V. R. Q. | - |
dc.date.accessioned | 2024-10-23T08:49:34Z | - |
dc.date.available | 2024-10-23T08:49:34Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Noetzold, 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.issn | 2352-7110 | - |
dc.identifier.uri | http://hdl.handle.net/10071/32529 | - |
dc.description.abstract | 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. | eng |
dc.language.iso | eng | - |
dc.publisher | Elsevier | - |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT | - |
dc.relation | MCIN/AEI/10.13039/501100011033/FEDER | - |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04466%2F2020/PT | - |
dc.relation | PID2023-151701OB-C21 | - |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT | - |
dc.rights | openAccess | - |
dc.subject | JVM optimization | eng |
dc.subject | Garbage collection | eng |
dc.subject | Performance metrics | eng |
dc.subject | Resource management | eng |
dc.subject | Web application efficiency | eng |
dc.title | JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance | eng |
dc.type | article | - |
dc.peerreviewed | yes | - |
dc.volume | 28 | - |
dc.date.updated | 2024-10-22T11:19:32Z | - |
dc.description.version | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.doi | 10.1016/j.softx.2024.101933 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.fos | Domínio/Área Científica::Engenharia e Tecnologia::Outras Engenharias e Tecnologias | por |
iscte.subject.ods | Indústria, inovação e infraestruturas | por |
iscte.subject.ods | Cidades e comunidades sustentáveis | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-106145 | - |
iscte.journal | SoftwareX | - |
Aparece nas coleções: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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article_106145.pdf | 863,97 kB | Adobe PDF | Ver/Abrir |
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