Scientific journal paper Q2
JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance
Darlan Noetzold (Noetzold, D.); Anubis Graciela de Moraes Rossetto (Rossetto, A. G. de M.); Luis Augusto Silva (Silva, L. A.); Paul Crocker (Crocker, P.); Valderi Leithardt (Leithardt, V. R. Q.);
Journal Title
SoftwareX
Year (definitive publication)
2024
Language
English
Country
United States of America
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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.
Acknowledgements
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Keywords
JVM optimization,Garbage collection,Performance metrics,Resource management,Web application efficiency
  • Computer and Information Sciences - Natural Sciences
  • Other Engineering and Technology Sciences - Engineering and Technology
Funding Records
Funding Reference Funding Entity
UIDB/04466/2020 Fundação para a Ciência e a Tecnologia
MCIN/AEI/10.13039/501100011033/FEDER Comissão Europeia
UIDP/04466/2020 Fundação para a Ciência e a Tecnologia
PID2023-151701OB-C21 Comissão Europeia
UIDB/50008/2020 Fundação para a Ciência e a Tecnologia
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