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Narrowing down the debugging space of slow search response time

机译:缩小搜索响应时间慢的调试空间

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When using search engines, users often care about search response time (SRT) in addition to result accuracy. It is thus the operators' responsibility to closely monitor and improving SRT. The first critical step of improving SRT is to pinpoint the root causes of slow SRT. However, this task is very challenging because SRT can be impacted by many factors, e.g., networks, data centers, browsers, and the page content. In this paper, we propose FOCUS, a systematic framework to narrow down the debugging space of slow SRT by identifying the bottleneck of slow SRT regarding various factors. The bottleneck provides operators more specific direction for further investigation. We deployed FOCUS in a global top search engine. Based on the output of FOCUS, operators successfully identified four potential causes which would not have been easy to find without FOCUS. Our what-if simulation analysis shows that, the proposed solutions, focusing on these bottlenecks, can improve SRT significantly, and they are more effective than some ad hoc solutions.
机译:使用搜索引擎时,用户通常除了结果的准确性外,还关心搜索响应时间(SRT)。因此,运营商有责任密切监视和改进SRT。改善SRT的首要关键步骤是查明SRT缓慢的根本原因。但是,此任务非常具有挑战性,因为SRT可能会受到许多因素的影响,例如,网络,数据中心,浏览器和页面内容。在本文中,我们提出了FOCUS,这是一个系统框架,可通过识别各种因素导致的慢速SRT瓶颈来缩小慢速SRT的调试空间。瓶颈为操作员提供了更具体的指导,以供进一步研究。我们在全球顶级搜索引擎中部署了FOCUS。根据FOCUS的输出,运营商成功地确定了四个潜在的原因,如果没有FOCUS,这些原因是不容易发现的。我们的假设分析分析表明,针对这些瓶颈的拟议解决方案可以显着改善SRT,并且比某些临时解决方案更有效。

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