• DocumentCode
    532431
  • Title

    Multi-level logs based web performance evaluation and analysis

  • Author

    Xia, Xiaokai ; Pei, Qiuhong ; Liu, Yongpo ; Wu, Ji ; Liu, Chao

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The execution of web applications always involves many levels (Operating system, Java virtual machine, Web server, Database server, application itself). Each level can produce its corresponding logs, which record the information of the level´s running state and history. Based on the multi-level logs generated by the running web systems, this paper proposes a comprehensive method to evaluate and analyze the online web applications´ performance. The advantages of this method are that we can not only use it in the testing stage, but also we can discover the online web applications´ performance problems not found in the performance testing stage, and can analyze the reasons of the problems effectively. Case study shows that it is an effective method for performance evaluation and analysis.
  • Keywords
    Internet; software performance evaluation; Web performance analysis; Web performance evaluation; multi-level logs; running Web systems; Artificial neural networks; Levee; Servers; Indicators; Multi-level Logs; Web Performance Analysis; Web Performance Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620512
  • Filename
    5620512