大数据 ›› 2016, Vol. 2 ›› Issue (6): 97-109.doi: 10.11959/j.issn.2096-0271.2016070

• 研究 • 上一篇    下一篇

基于大数据的移动互联网主动运维理论和实践进展

杨慰民   

  1. 中国移动通信集团福建有限公司,福建 福州 350003
  • 出版日期:2016-11-20 发布日期:2017-04-27

Theory and progress of active operation and maintenance of mobile internet based on big data

Weimin YANG   

  1. China Mobile Group Fujian Co.,Ltd.,Fuzhou 350108,China
  • Online:2016-11-20 Published:2017-04-27

摘要:

对于非话音的移动互联网业务,即使网络指标是完好的,仍然存在用户感知不佳的现象。基于大数据技术研究用户感知和网络性能指标的关系,提出基于样本空间置换的五元五阶模型实施主动运维,先于用户投诉发现并解决感知不佳问题。相比传统的运维模式,主动运维模式以网络性能管理为基础,能快速发现网络中各节点之间的性能失衡、趋势异常等隐性问题。运维人员根据分析结果主动出击,在故障发生前精确优化,降低成本,提升网络质量及客户满意度。

关键词: 移动互联网, 大数据, 用户感知, 性能分析, 主动运维, 五元五阶, 样本空间置换

Abstract:

The relationship between user's perception and network performance index was studied.A five-element-five-phase (FEFP) method based on substitution between sample and space was proposed.Active operation and maintenance mode based on network performance management,can quickly find out the performance of the network in the imbalance between the nodes,abnormal trend of hidden problems etc with active network analysis.According to the analysis of the initiative,the engineers can target for exact optimization,reduce the costs,improve the quality of the network and customer satisfaction before the failure occurred.

Key words: mobile internet, big data, user perception, performance analysis, active maintenance, five element five phase, sample and space substitution

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