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http://hdl.handle.net/10071/32529| Author(s): | Noetzold, D. Rossetto, A. G. de M. Silva, L. A. Crocker, P. Leithardt, V. R. Q. |
| Date: | 2024 |
| Title: | JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance |
| Journal title: | SoftwareX |
| Volume: | 28 |
| Reference: | 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 |
| ISSN: | 2352-7110 |
| DOI (Digital Object Identifier): | 10.1016/j.softx.2024.101933 |
| Keywords: | JVM optimization Garbage collection Performance metrics Resource management Web application efficiency |
| 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. |
| Peerreviewed: | yes |
| Access type: | Open Access |
| Appears in Collections: | CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| article_106145.pdf | 863,97 kB | Adobe PDF | View/Open |
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