首页> 外文OA文献 >Análise de desempenho de sistemas distribuídos de grande porte na plataforma Java
【2h】

Análise de desempenho de sistemas distribuídos de grande porte na plataforma Java

机译:Java平台上大型分布式系统的性能分析

摘要

The lava Platform is increasing1y being adopted in the development of distributed sys¬tems with higb user demando This kind of application is more complex because it needs beyond attending the functional requirements, to fulfil1 the pre-established performance parameters. This work makes a study on the Java Vutual Machine (JVM), approaching its intemal aspects and exploring the garbage collection strategies existing in the literature and used by the NM. It also presents a set of tools that helps in the job of optimizing applications and others that help in the monitoring of applications in the production envi¬ronment. Doe to the great amount of technologies that aim to solve problems which are common to the application layer, it becomes difficult to choose the one with best time response and less memory usage. This work presents a brief introduction to each one of tbe possible technologies and realize comparative tests through a statistical analysis of the response time and garbage collection activity random variables. The obtained results supply engineers and managers with a subside to decide which technologies to use in large applications through the knowledge of how they behave in their environments and the amount of resources that they consume. The relation between the productivity of the technology and its performance is also considered ao important factor in this choice
机译:具有higb用户需求的分布式系统的开发中正越来越多地采用lava平台。这种应用更加复杂,因为它不仅需要满足功能要求,而且还需要满足预先建立的性能参数。这项工作对Java Vutual Machine(JVM)进行了研究,研究了它的内在方面,并探索了文献中现有和NM使用的垃圾收集策略。它还提供了一组工具,这些工具可帮助优化应用程序,而其他工具则有助于监视生产环境中的应用程序。对于旨在解决应用程序层常见问题的大量技术,要选择一种具有最佳时间响应和较少内存使用的技术变得很困难。这项工作简要介绍了每种可能的技术,并通过对响应时间和垃圾收集活动随机变量的统计分析来实现比较测试。所获得的结果为工程师和管理人员提供了补贴,让他们通过了解大型应用程序在环境中的行为方式和消耗的资源量来决定在大型应用程序中使用哪种技术。技术生产率与性能之间的关系也被认为是此选择的重要因素

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号