• DocumentCode
    3748397
  • Title

    Narrowing down the debugging space of slow search response time

  • Author

    Dapeng Liu; Youjian Zhao; Dan Pei; Chengbin Quan; Qingqian Tao; Pei Wang; Xiyang Chen; Dai Tan; Xiaowei Jing; Mei Feng

  • Author_Institution
    Tsinghua National Laboratory for Information Science and Technology (TNList), Tsinghua University, Beijing 100084, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    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.
  • Keywords
    "Search engines","Browsers","Debugging","Time factors","Monitoring","Systematics","Focusing"
  • Publisher
    ieee
  • Conference_Titel
    Computing and Communications Conference (IPCCC), 2015 IEEE 34th International Performance
  • Electronic_ISBN
    2374-9628
  • Type

    conf

  • DOI
    10.1109/PCCC.2015.7410318
  • Filename
    7410318