• DocumentCode
    3730064
  • Title

    CDR analysis using Big Data technology

  • Author

    Sara B. Elagib;Aisha-Hassan A. Hashim;R. F. Olanrewaju

  • Author_Institution
    Department of Electrical & Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur Malaysia
  • fYear
    2015
  • Firstpage
    467
  • Lastpage
    471
  • Abstract
    Call Detail Records (CDR) is a valuable source of information; it opens new opportunities for telecom industry and maximize its revenues as well as it helps the community to raise its standard of living in many different ways. However, we need to analyze CDRs in order to extract its big value. But CDRs has a huge volume, variety of data and high data rate, while current telecom systems are designed without these issues in mind. CDRs can be seen as Big Data source, and hence, it is applicable to use Big Data technologies (storage, processing and analysis) in CDR analytics. There are considerable research efforts to address the CDR analysis challenges. This paper presents the use of Big Data technology in CDR analysis by giving some CDR analytics based application examples, highlighting their architecture, the utilized Big Data tools and techniques, and the CDR use case scenarios.
  • Keywords
    "Big data","Telecommunications","Computer architecture","Real-time systems","Programming","Industries","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control, Networking, Electronics and Embedded Systems Engineering (ICCNEEE), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCNEEE.2015.7381414
  • Filename
    7381414