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Guobin Zhu
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Personal Information
  • Supervisor of Doctorate Candidates
  • Supervisor of Master's Candidates
  • Name (Pinyin):Zhu Guobin
  • E-Mail:
  • Education Level:研究生毕业
  • Business Address:Room 1104, School of Cyber Science and Engineering, Wuhan University
  • Gender:Male
  • Contact Information:Tel. +86-27-68778916 Mobile: +86-18040500277 http://rsgis.whu.edu.cn/index.php?m=content&c=index&a=show&catid=127&id=6311
  • Academic Titles:Director of Dept. of Spatial Information & Digital Technology
  • Alma Mater:Ben-Gurion University of the Negev
  • Teacher College:School of Remote Sensing and Information Engineering
  • Discipline: Photogrammetry and Remote Sensing
  • Honors and Titles
      2018  elected:Honorary Title of Hubei Provincial Industrial Professors

      2017  elected:Honorary Title of Innovation & Creative Talent of Yangzhou City, Jiangsu Province

      2016  elected:Honorary Title of Outstanding Communist Party Member of Wuhan University

      2016  elected:Honorary Title of Progressive Individual for Major Evaluation at Wuhan University

      2015  elected:湖北省优秀学士论文指导教师

      2015  elected:Honorary Title of Outstanding Navigator for Students of Wuhan University

      2014  elected:Honorary Title of the Yellow Crane Talent of Wuhan City

      2013  elected:Honorary Title of Representatives of the CPC Congress of Wuhan University

      2013  elected:Honorary Title of Progressive Individual for Teaching and Educating at Wuhan University
Other Contact Information
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Current position: Home   >   Student Information

曾率

  • Date:2018-12-03
  • Hits:
  • Duration of Study: 

    2017-2019
  • Employment Status: 

    深圳Vivo有限公司
  • Major: 

    Software Engineering
  • Research Focus: 

    互联网金融
  • Personal Profile: 


    本文以ELK工具栈为核心,分布式消息队列Kafka作为缓冲区,对日志管理系统进行了详细的设计与实现。论文首先阐述了关于本文日志管理系统的选题背景,然后详细介绍了国内外对于日志管理系统的实现和日志分析算法的最新进展,更加明确了本文所研究的日志管理系统的目标和意义。再通过对传统日志管理分析系统的了解和分析,总结并设计了以ELK工具栈为基础的日志管理系统的实现方案。最后利用ELK工具栈中的日志数据收集和过滤工具、日志数据存储和检索工具以及日志数据可视化工具,设计并实现了日志管理系统中的四个子模块。
    通过对该日志管理系统的设计与实现,论文解决了传统信息系统日志数据难以快速收集和过滤,解析后的日志数据难以被实时全文检索和图形化展示的问题,继而使得人工管理和分析难以处理的海量日志数据可以得到更好的利用。
  • Education Level: 

    Under postgraduate
  • Degree: 

    硕士
  • Current Status: 

    Studying
  • Graduation Thesis Title: 

    《基于ELK的日志管理系统的设计与实现》
  • Student ID: 

    2017282160102
  • Date of Registration: 

    2017-09-01
  • Date of Graduation: 

    2019-06-30