CARENA: a tool to capture and replay Web navigation sessions

I. J. Niño, B. D. L. Ossa, J. A. Gil, J. Sahuquillo, A. Pont
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引用次数: 14

Abstract

Web user behavior has widely changed over the last years. To perform precise and up-to-date Web user behavior characterization is important to carry out representative Web performance studies. In this sense, it is valuable to capture detailed information about the user's experience, which permits to perform a fine grain characterization. Two main types of tools are distinguishable: complex commercial software tools like workload generators and academic tools. The latter mainly concentrate on the development of windows applications which gather Web events (e.g., browser events) or tools modifying a part of the web browser rode. In this paper, we present CARENA, a client-side browser-embedded tool to capture and replay user navigation sessions. Like some commercial software packages our tool captures information about the user session, which can be used later to replay or mimic the gathered user navigation. Nevertheless, unlike these software packages, our tool emulates the original user think times since these times are important to obtain precise and reliable performance results. Among the main features of CARENA are: multiplatform, open source, lightweight, standards based, easily installable and usable, programmed in JavaScript and XUL.
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CARENA:捕获和回放Web导航会话的工具
在过去的几年里,网络用户的行为发生了很大的变化。要执行精确的、最新的Web用户行为特征描述,就必须进行具有代表性的Web性能研究。从这个意义上说,捕获有关用户体验的详细信息是有价值的,这允许执行细粒度表征。两种主要类型的工具是可区分的:复杂的商业软件工具,如工作负载生成器和学术工具。后者主要集中于开发收集Web事件(例如浏览器事件)的windows应用程序或修改部分Web浏览器的工具。在本文中,我们介绍了CARENA,这是一个客户端浏览器嵌入式工具,用于捕获和重播用户导航会话。像一些商业软件包一样,我们的工具捕获有关用户会话的信息,这些信息可以在以后用于重播或模拟收集到的用户导航。然而,与这些软件包不同的是,我们的工具模拟了原始用户的思考时间,因为这些时间对于获得精确和可靠的性能结果非常重要。CARENA的主要特点包括:多平台、开源、轻量级、基于标准、易于安装和使用、使用JavaScript和XUL编程。
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