期刊文献+

应用服务器群服务安全监控机制 被引量:1

Service security monitoring mechanism for application server cluster
下载PDF
导出
摘要 应用服务器关键硬件的承载状态及应用软件自身的工作状态是网络应用系统服务安全的重要因素,通过对应用服务器中央处理器、内存、网络流量、应用软件目录、文件等监控技术的研究,将动态综合监控、安全审查、应用软件智能修复技术进行集成,构建了网络应用系统的智能监控体系架构,并阐明了实现原理和方法,解决了网络应用系统软硬件工作状态综合监控问题,实现了应用系统硬件和软件工作状态异常时自动报警、定位和应用软件遭受攻击时自动修复的目标。 For an application system, the workloads on the application servers9 key hardware and the working stateof the application software are important factors affecting the system’s safety. Based on studies of the monitoringtechniques for CPU, RAM, network traffic, software directories and software files of application servers, dynamiccomprehensive monitoring, safety review and application software intelligent recovery were integrated, and anintelligent monitoring system was constructed for the application systems. The mechanisms and methodology of themonitoring system were illustrated. The system realized intelligent monitoring the working state of hardware andsoftware, achieved the goal of automatic alarming, fault locating upon abnormal working states of the hardware orsoftware and automatic recovery upon attacks to the software.
作者 鞠洪尧
出处 《电信科学》 北大核心 2016年第6期177-185,共9页 Telecommunications Science
基金 科技部创新基金资助项目(No.14C26213311599) 宁波市智团创业基金资助项目(No.2013B70071)~~
关键词 应用服务器群 动态监控 安全审查 异常定位 智能恢复 application server cluster, dynamic monitoring, security review, anomaly locating, intelligent recovery
  • 相关文献

参考文献7

二级参考文献198

  • 1刘正伟,文中领,张海涛.云计算和云数据管理技术[J].计算机研究与发展,2012,49(S1):26-31. 被引量:170
  • 2谢希仁.计算机网络(第五版)[M].北京:电子工业出版社,2009.
  • 3Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
  • 4Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf.
  • 5Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011.
  • 6Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf.
  • 7Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation.
  • 8World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
  • 9Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www, whitehouse, gov/sites/default/ files/microsites/ostp/big_data fact sheet_final_ 1. pdf.
  • 10UN Global Pulse. Big Data for Development:Challenges Opportunities [R/OL]. [ 2012-10-02 ]. http://www. unglobalpulse, org/proj ects/BigDataforDevelopment.

共引文献2482

同被引文献9

引证文献1

二级引证文献2

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