Study of CDR Real-time Query Based on Big Data Technologies

被引：0
|
作者：
Gao, Zhiheng [1 ]
Chen, Kang [1 ]
Bi, Lingyan [1 ]
机构：
[1] South China Univ Technol, Commerce Dept, Guangzhou, Peoples R China
来源：
PROGRESS IN MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2 | 2014年 / 462-463卷
关键词：
CDR; Real-time Query; Big Data;
D O I：
10.4028/www.scientific.net/AMM.462-463.845
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes big data technology layers, analyses the CDR (Call Data Records) real-time query scenario of telecommunications and brings forward a fast indexing and query solution based on the open source Hadoop platform. A CDR real-time query system was built according to the solution. A performance test was conducted with the real dataset of a city with 3 million subscribers. Compared with the existing system, the big data solution can greatly improve data processing performance and support real-time query with lower hardware and software investment.
引用
收藏
页码：845 / +
页数：2
相关论文
共 50 条
  • [1] Design and development of real-time query platform for big data based on hadoop
    刘小利
    Xu Pandeng
    Liu Mingliang
    Zhu Guobin
    High Technology Letters, 2015, 21 (02) : 231 - 238
  • [2] Design and development of real-time query platform for big data based on hadoop
    Liu, Xiaoli
    Xu, Pandeng
    Liu, Mingliang
    Zhu, Guobin
    High Technology Letters, 2015, 21 (02) : 231 - 238
  • [3] Real-time Big Data Technologies of Energy Internet Platform
    Wang Guilan
    Zhou Guoliang
    Zhao Hongshan
    Liu Hongyang
    2016 IEEE INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2016,
  • [4] On the use of IoT and Big Data Technologies for Real-time Monitoring and Data Processing
    Nait Maleka, Y.
    Kharbouch, A.
    El Khoukhi, H.
    Bakhouya, M.
    De Florio, V.
    El Ouadghiri, D.
    Latre, S.
    Blondia, C.
    8TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS (EUSPN 2017) / 7TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE (ICTH-2017) / AFFILIATED WORKSHOPS, 2017, 113 : 429 - 434
  • [5] IoT and Big Data Technologies for Monitoring and Processing Real-Time Healthcare Data
    Kharbouch, Abdelhak
    Naitmalek, Youssef
    Elkhoukhi, Hamza
    Bakhouya, Mohamed
    De Florio, Vincenzo
    Driss El Ouadghiri, Moulay
    Latre, Steven
    Blondia, Chris
    INTERNATIONAL JOURNAL OF DISTRIBUTED SYSTEMS AND TECHNOLOGIES, 2019, 10 (04) : 17 - 30
  • [6] Framework for Real-Time Predictive Maintenance Supported by Big Data Technologies
    Teixeira, Marco
    Thierstein, Francisco
    Entringer, Pedro
    Sa, Hugo
    Leitao, Jose Demetrio
    Leal, Fatima
    GOOD PRACTICES AND NEW PERSPECTIVES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, WORLDCIST 2024, 2024, 985 : 13 - 22
  • [7] Real Time Processing Technologies in Big Data: Comparative Study
    Kandrouch, Ibtissame
    Redouani, Yassine
    Chaoui, Habiba
    2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 256 - 262
  • [8] Big Data Real-time Processing Based on Storm
    Yang, Wenjie
    Liu, Xingang
    Zhang, Lan
    Yang, Laurence T.
    2013 12TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2013), 2013, : 1784 - 1787
  • [9] Clustering-based real-time anomaly detection-A breakthrough in big data technologies
    Habeeb, Riyaz Ahamed Ariyaluran
    Nasaruddin, Fariza
    Gani, Abdullah
    Amanullah, Mohamed Ahzam
    Hashem, Ibrahim Abaker Targio
    Ahmed, Ejaz
    Imran, Muhammad
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (08):
  • [10] Real-Time Data ETL Framework for Big Real-Time Data Analysis
    Li, Xiaofang
    Mao, Yingchi
    2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2015, : 1289 - 1294
12345