JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance
Darlan Noetzold,
Anubis Graciela de Moraes Rossetto,
Luis Augusto Silva,
Paul Crocker,
Valderi Reis Quietinho Leithardt
Affiliations
Darlan Noetzold
University of Vale do Rio dos Sinos (UNISINOS), São Leopoldo, Brazil; Federal Institute of Education, Science and Technology Sul-rio-grandense, Passo Fundo, RS, 99.064-440, Brazil
Anubis Graciela de Moraes Rossetto
Federal Institute of Education, Science and Technology Sul-rio-grandense, Passo Fundo, RS, 99.064-440, Brazil
Luis Augusto Silva
Department of Computer Science, Faculty of Science, Universidad de Salamanca, Salamanca, 37008, Spain
Paul Crocker
Instituto de Telecomunicações and Departamento de Informática, Universidade da Beira Interior, Covilhã, Portugal
Valderi Reis Quietinho Leithardt
Instituto Universitário de Lisboa (ISCTE-IUL), ISTAR, Avenida das Forças Armadas, 1649-026, Lisboa, Portugal; Corresponding author.
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.
