• DocumentCode
    2083381
  • Title

    Analyzing failure frequency and severity in communication networks

  • Author

    Matsukawa, Tatsuya ; Funakoshi, Hiroyuki

  • Author_Institution
    Nippon Telegraph & Telephone Corp., Tokyo, Japan
  • fYear
    2010
  • fDate
    25-28 Jan. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Methods for analyzing failures in communication networks are described and a new method is proposed. Failure frequency and severity are important as criteria to evaluate the impacts of failures on users and network operation. The time trend of failure frequency is analyzed by using the cumulative number failures, and the failure severity is described by the product of outage time and the number of users affected by a failure. The relationship of failure frequency and severity is estimated by the generalized Pareto probability distribution. Examples of analyzing failures by using the outage data collected in an actual communication network are presented. The proposed method facilitates the operation and management of carrier-grade communication networks provided to millions of end users. Our proposed method can be flexibly applied to various types of network structures and has been used successfully in our work.
  • Keywords
    Pareto distribution; failure analysis; multimedia communication; radio networks; telecommunication network reliability; Pareto probability distribution; carrier-grade communication networks; failure frequency analysis; severity; Communication networks; Failure analysis; Frequency estimation; IP networks; Maintenance; Probability distribution; Telecommunication network reliability; Telegraphy; Telephony; Web and internet services; communication network; failure frequency; failure severity; outage data; reliability management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual
  • Conference_Location
    San Jose, CA
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4244-5102-9
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2010.5447990
  • Filename
    5447990