Locating causes of abnormality of EPG experience based on decision tree

Xiaomin TAN; Ai FANG; Bing LIANG; Haojie YANG

doi:10.11959/j.issn.1000-0801.2019087

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Locating causes of abnormality of EPG experience based on decision tree

Operation technology wide Angle | 更新时间：2024-06-05

- Locating causes of abnormality of EPG experience based on decision tree
- Telecommunications Science Vol. 35, Issue 8, Pages: 158-164(2019)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2019087
  CLC： TP393
- Published Online：2019-08，
  
  Published：20 August 2019
- 稿件说明：
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Xiaomin TAN, Ai FANG, Bing LIANG, et al. Locating causes of abnormality of EPG experience based on decision tree[J]. Telecommunications science, 2019, 35(8): 158-164.
DOI：

Xiaomin TAN, Ai FANG, Bing LIANG, et al. Locating causes of abnormality of EPG experience based on decision tree[J]. Telecommunications science, 2019, 35(8): 158-164. DOI： 10.11959/j.issn.1000-0801.2019087.

摘要

用户体验的提升一直是IPTV的运维重点。然而，运营商IPTV组网相对复杂，涉及机顶盒、接入网、EPG页面、EPG服务器、媒体服务器等多个环节和调度链路，一旦发生异常，运维人员需排查各环节的监控指标，凭经验定位引起异常的原因。该运维模式专业性强、效率低下，无法快速止损。为解决上述运维痛点，基于大数据技术，采用决策树对EPG体验数据建模，根据决策树模型的决策规则，快速定位异常原因。现网中，决策树模型能够准确快速定位EPG体验的异常原因，为辅助运维人员指明排查方向，提高运维效率。

Abstract

Improving user experience has always been the focus of IPTV operation.However

IPTV network is relatively complex

including multiple scheduling links such as set-top box

access network

EPG page

EPG server and media server.Once the abnormality occurs

monitoring indicators of each link will be checked to locate the cause of abnormality by human experience.The operation mode relies on professionals

which is inefficient and unable to stop losses quickly.Thus

to solve the problem above

based on big data technology

decision tree was implied to locate the cause of abnormality according to the classification rule of the tree model.Decision tree model has been used in actual networks of IPTV and helps to find out the cause of abnormality

which improves the efficiency of operation.

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references

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