Key technical challenges in telecom big data

Jia ZENG; Shikai LIU; Mingxuan YUAN

doi:10.11959/j.issn.2096-0271.2016034

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Key technical challenges in telecom big data

APPLICATION | 更新时间：2024-06-03

- Key technical challenges in telecom big data
- BIG DATA RESEARCH Vol. 2, Issue 3, Pages: 2016034(2016)
- 作者机构：
  
  1. 华为诺亚方舟实验室，香港 999077
  2. 华为大数据分析产品部，江苏南京 210012
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2016034
  CLC： TP 391
- Online First：2016-05，
  
  Published：20 May 2016
- 稿件说明：
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Jia ZENG, Shikai LIU, Mingxuan YUAN. Key technical challenges in telecom big data[J]. BIG DATA RESEARCH, 2016, 2(3): 2016034.
DOI：

Jia ZENG, Shikai LIU, Mingxuan YUAN. Key technical challenges in telecom big data[J]. BIG DATA RESEARCH, 2016, 2(3): 2016034. DOI： 10.11959/j.issn.2096-0271.2016034.

摘要

大数据逐渐对用户体验和生产效率带来颠覆性影响。电信大数据来源于运营商通信网络平台的BSS和OSS，沉淀了海量用户7个维度的信息：1维用户真实ID、1维行为数据、1维社交数据、1维时间数据和3维空间数据。运营商构建电信大数据分析平台，通过对7维用户数据建模，可以实现3个数据业务方向的升级：用户洞察、网络洞察和数据开放。着重探讨电信大数据分析平台遇到的9个关键技术挑战和可能的技术突破方向。

Abstract

Big data has been improving steadily user experience and productivity.Telecom big data comes from the telecommunication platform composed of the BSS (business supporting system) and OSS (operation supporting system)

which accumulate billions of customers’ 7-dimensional (7D) data including 1D for real ID

1D for customer behavior data

1D for social network

1D for time series and 3D for spatial information.Telecom big data platform can support modeling of 7D customer data

which enables three business upgrades

including customer insight

network insight and data openness.9 technical challenges of telecom big data analytics and possible solutions were described and discussed.

关键词

Keywords

references

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HU X Y , YUAN M X , YAO J G , et al . Differential privacy in telco big data platform [C ] // The 41st International Conference on Very Large Data Bases,August 31-September 4,Hawaii,USA[S.l.:s.n.] , 2015 : 1692 - 1703 .

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