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Publication Detailed Description
JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance
Journal Title
SoftwareX
Year (definitive publication)
2024
Language
English
Country
United States of America
More Information
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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
Fields of Science and Technology Classification
- 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 |
Related Projects
This publication is an output of the following project(s):
Contributions to the Sustainable Development Goals of the United Nations
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