Título
JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance
Autor(es)
Palabras clave
JVM optimization
Garbage collection
Performance metrics
Resource management
Web application efficiency
Clasificación UNESCO
1203 Ciencia de los ordenadores
Fecha de publicación
2024
Editor
Elsevier
Citación
Darlan 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)
Resumen
[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.
URI
ISSN
2352-7110
DOI
10.1016/J.SOFTX.2024.101933
Versión del editor
Aparece en las colecciones
