Research on XDR Bill Compression Under Big Data Technology

被引:0
作者
Zhao, Bing [1 ]
Zhang, Sining [1 ]
Zheng, Jun [2 ]
机构
[1] Heilongjiang Univ, Dept Elect Engn, Harbin, Heilongjiang, Peoples R China
[2] Vixtel Technol Holdings Ltd, Beijing, Peoples R China
来源
DATA SCIENCE, PT 1 | 2017年 / 727卷
关键词
Big data; XDR bill; Compression strategy;
D O I
10.1007/978-981-10-6385-5_13
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Communication industry has been walking in front of the big data technology application. Some studies on precision-controlled compression method are carried on in this paper by using the big data technology based on the widely used XDR bill in communication industry. According to different application scenarios, this paper puts forward targeted compression strategy and technological implementation method and verify the high efficiency of associated method in practice. It solves the problem of occupying large storage and low analysis efficiency in areas like the storage of the massive XDR bill, pretreatment, aggregation. It provides valuable references for telecommunication-related researchers and engineering practitioner in respect of using the big data technology.
引用
收藏
页码:144 / 152
页数:9
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