使用端到端用户级监控来保证应用程序性能

S. Dalal, Y. Ho, Ashish Jain, A. McIntosh
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引用次数: 2

摘要

提出了一种同时考虑应用完整性和传统网络响应时间的性能度量方法。现代网络应用程序服务依赖于一堆网络协议和许多其他服务,其中许多服务跨组织和公司边界。我们指出,传统的软件质量保证技术不能扩展到对此类应用程序和服务进行部署后完整性检查。提出了一种基于事务完整性和时延测量的网络应用服务不间断后期监控方法。具体来说,我们描述了Telcordia/spl贸易/应用保证系统,这是我们为测量在商业环境中使用的基于web的应用程序的实时性能而创建的。该系统可以测量后期应用程序的完整性和时间延迟。度量是通过发送合成的终端用户事务和分析响应来执行的。介绍了单监测点和多监测点数据分析的统计模型。创建合成的最终用户事务对我们的方法至关重要。本文提出了一种从系统功能的图形模型生成“高效”终端用户事务的方法。使用组合设计生成高效的事务。图形模型是使用记录器增量创建的。我们给出了该系统有效性的几个实证例子,并将其用于发现性能问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application performance assurance using end-to-end user level monitoring
A new measure of performance, which uses both application integrity and traditional network response time, is proposed. Modern networked application services rely on a stack of network protocols and a host of other services many of which cross-organizational and corporate boundaries. We point out that traditional software quality assurance techniques don't scale up for post-deployment integrity checks for such applications and services. A new methodology to do non-stop post-production monitoring of networked application services for transactional integrity and time delay measurement is proposed. Specifically we describe the Telcordia/spl trade/ Application Assurance System, which we have created for measuring real-time performance of web-based applications used in commercial settings. The system measures both post-production application integrity and time delay. The measurements are carried out by sending synthetic end-user transactions and analyzing the responses. Statistical models for analyzing the data using single monitoring site as well as multiple monitoring sites are described. Creating synthetic end-user transactions is crucial for our method. The paper presents a method for generation of 'highly efficient' end-user transactions from a graphical model of the functionality of the system. Highly efficient transactions are generated using combinatorial designs. The graphical model is incrementally created using a recorder. We give several empirical examples of efficacy of this system and uses for finding performance problems.
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