Improving system operation ability based on big data mining

王黎明; 项捷; 蒋健

doi:10.13992/j.cnki.tetas.2016.08.006

Chinese

您当前的位置：

首页 >

文章列表页 >

Improving system operation ability based on big data mining

更新时间：2026-04-21

- Improving system operation ability based on big data mining
- Vol. 29, Issue 8, Pages: 21-25(2016)
- 作者机构：
  
  中国移动通信集团浙江有限公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2016.08.006
  CLC： TP311.13
- Published：2016
- 稿件说明：
移动端阅览
[1]王黎明,项捷,蒋健.基于数据挖掘的系统运管能力提升[J].电信工程技术与标准化,2016,29(08):21-25.

王黎明, 项捷, 蒋健. Improving system operation ability based on big data mining[J]. 2016, 29(8): 21-25.
[1]王黎明,项捷,蒋健.基于数据挖掘的系统运管能力提升[J].电信工程技术与标准化,2016,29(08):21-25. DOI： 10.13992/j.cnki.tetas.2016.08.006.

王黎明, 项捷, 蒋健. Improving system operation ability based on big data mining[J]. 2016, 29(8): 21-25. DOI： 10.13992/j.cnki.tetas.2016.08.006.

摘要

近几年IT应用技术飞速发展

企业私有云和容器技术使系统应用越来越动态

与此同时

移动互联网对于最终用户的体验和安全保障也越来越高

但传统的系统运维与监控无法适用这些变化。本文提出了一种通过网络流量分组解析与大数据挖掘来提升IT系统运管能力的解决方案。

Abstract

IT has made rapid improvement recent years. Private cloud even Docker makes application more and more dynamic. And Internet+ demands high customer experience and security. But traditional system operation and monitor is not suit to these changes. This article raises one solution based on application DPI and big data mining to improve operation ability of system operation.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Study of medical privacy data security protection in 5G cloud-side collaboration scenarios

Research on 5G network self-organizing optimization technology

Research on east-west traffic attack detection with deep integration of cloud architecture

Precision marketing model of mobile broadband based on technology of big data

Research and practice on big data platform technology based on the core structures of Spark

Related Author

张钰

张程

陈庆勇

王黔川

付航

霍旺

王珏

包森成

Related Institution

中移(成都)信息通信科技有限公司

中国移动通信集团重庆有限公司

中国移动通信集团甘肃有限公司兰州分公司

中国移动通信集团湖北有限公司

中国移动通信集团设计院有限公司

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰