JVM 优化：提高网络应用性能的 JVM 配置实证分析

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-10-21 DOI:10.1016/j.softx.2024.101933

Darlan Noetzold , Anubis Graciela de Moraes Rossetto , Luis Augusto Silva , Paul Crocker , Valderi Reis Quietinho Leithardt

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引用次数: 0

摘要

本研究介绍了用于经验分析 Java 虚拟机（JVM）参数配置的软件，以提高网络应用程序的性能。它在受控硬件环境中使用 JMeter 和 cAdvisor 等工具收集和分析性能指标。与标准配置相比，针对高请求负载的定制 JVM 设置将 CPU 效率提高了 20%，内存使用率降低了 15%。对于大文件的 I/O 密集型操作，优化的 JVM 配置将响应时间缩短了 30%，CPU 使用率降低了 25%。这些发现凸显了量身定制的 JVM 设置对应用程序响应速度和资源管理的影响，为开发人员和工程师提供了宝贵的指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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JVM optimization: An empirical analysis of JVM configurations for enhanced web application performance

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.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.