期刊文献+

研究生信息平台中运维系统的设计与实现 被引量:2

Design and implementation of operation subsystem in graduate student management system
下载PDF
导出
摘要 现代软件系统大多采用基于日志收集与分析的运维模式,帮助系统管理人员确保业务系统的安全性与稳定性.本文首先讨论了现有基于日志分析的运维方案.接下来,基于开源的ELK框架,设计了华东师范大学研究生院信息平台中的运维子系统.通过实时交互可视化的数据分析方式,有效地解决了研究生院业务人员在系统使用中遇到的性能与负载监控,用户行为分析以及服务异常调试等方面的问题.最后针对不同类型的业务运维场景,给出了基于交互式仪表盘的运维服务实现. Log collection and analysis based operation scheme is very important in the design of modern software systems, which helps system administrators to enhance data security and service stability. Firstly, this paper discusses the existing operation approaches based on log collection and analysis. Secondly, with the open source ELK framework, this paper gives a detailed design of the operation subsystem in graduate student information platform. The proposed design can effectively fulfill the practical requirements of the graduate school, like performance and workload monitoring, user behavior tracking and error tracing,by using the real-time interactive data analysis on system and application logs. Finally, this paper demonstrates the interactive dashboard implementation of our operation subsystem under different business scenarios.
出处 《华东师范大学学报(自然科学版)》 CAS CSCD 北大核心 2017年第5期225-235,共11页 Journal of East China Normal University(Natural Science)
基金 国家重点研发计划(2016YFB1000905) 国家自然科学基金广东省联合重点项目(U1401256) 国家自然科学基金(61672234 61402177) 华东师范大学信息化软课题
关键词 运维 日志 数据分析 operation and management log analysis data analysis
  • 相关文献

参考文献9

二级参考文献52

  • 1郭岩.基于网络用户行为的搜索引擎系统SISI[J].计算机工程,2004,30(16):9-11. 被引量:1
  • 2余慧佳,刘奕群,张敏,茹立云,马少平.基于大规模日志分析的搜索引擎用户行为分析[J].中文信息学报,2007,21(1):109-114. 被引量:117
  • 3CNNIC (China Internet Network Information Center).The 25st report in development of Internet in China[R].http://www.cnnic.net.cn/uploadfiles/pdf/2010/1/15/101600.pdf.2010.
  • 4Cockburn,A.and Jones,S.Which way now? Analysing and easing inadequacies in WWW navigation[J].International Journal of Human-Computer Studies,1996,45,105-129.
  • 5Tauscher,L.,& Greenberg,S.How people revisitweb pages:Empirical findings and implications for the design of history systems[J].International Journal of Human-Computer Studies,1997,47,97-137.
  • 6Craig Silverstein,Monika Henzinger,Hannes Marais,et al.Analysis of a very large Web search engine query log[C]//SIGIR Forum,1998,33 (1):6-12.
  • 7Agichtein E,Brill E,Dumais S.Improving web search ranking by incorporating user behavior information[C]//SIGIR06,New York,NY,USA,2006:19-26.
  • 8Dou Z,Song R,Yuan X,Wen J.Are click-through data adequate for learning web search rankings?[C]//Proceeding of the CIKM '08.ACM,New York,NY,2008:73-8.
  • 9Danny Sullivan,Search Engine Sizes[R].In search engine watch website,http://searchenginewatch.com/reports/article,php/2156481.
  • 10Joachims T,Granka L,Pan B,Hembrooke H,Gay G.Accurately interpreting clickthrough data as implicit feedback[C]//Proceedings of the SIGIR'05.ACM,New York,NY,2005,154-161.

共引文献317

同被引文献18

引证文献2

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部