采用大数据技术的移动DPI关联算法探索及实现

doi:10.11959/j.issn.1000-0801.2017343

Abstract

Abstract:

In order to solve the problem of traffic usage caused by the increasing penetration rate of 4G in recent years,an algorithm that uses mobile DPI detailed bill and billing bill was proposed,and big data platform was adopted.The related processing technology implements the algorithm and shows the effect of the current network operation evaluation.

Key words: big data, data detail report, deep packet inspection, data flow, LTE, eHRPD

CLC Number:

TN915

Xiaosong LIU,Yi’an MA. Research and implementation of mobile DPI association algorithm with big data technology[J]. Telecommunications Science, 2017, 33(12): 121-126.

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References 9

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序号	DDR流量分类条件	匹配标准
1	小于100 KB	存在DPI即匹配，≠100%
2	100~200 KB	流量误差100%之内,即[-100%,100%）
3	200~500 KB	流量误差50%之内,即[-50%,50%]
4	大于500 KB	流量误差20%之内,即[-20%,20%]

话单	总条数/条	总流量/byte
A类型话单	649 698	22 047 540 059 021
B类型话单	1 984	1 243 607 026 411
C类型话单	60 747 368	133 582 486 154 002
D类型话单	368 670	5 988 048 615 736
总计	61 767 720	162 861 681 855 170

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Research and implementation of mobile DPI association algorithm with big data technology

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