• DocumentCode
    593895
  • Title

    A P2P Auto-Recover Method for the Factory Data of Cable Modem over the HFC Network

  • Author

    Yu-Liang Chen ; Guo-Heng Luo ; Yi-Ming Chang ; Shyan-Ming Yuan

  • Author_Institution
    Dept. of Inf. Manage., Ta Hwa Inst. of Technol., Hsinchu, Taiwan
  • fYear
    2012
  • fDate
    25-28 Aug. 2012
  • Firstpage
    522
  • Lastpage
    525
  • Abstract
    With the popularization of the Data-Over-Cable Service Interface Specifications (DOCSIS) product, many devices have been installed in client sides. the issue of how to maintain the quality while providing quick repair becomes more and more important. in some practical circumstances, the cable modem may lose the factory data which include the calibration table and the digital certificates. These data are unique and vital for the regular operations of cable modem. the traditional way of handling the malfunction product is to ship back the product to the maintenance branch and replaces a working device for the customer. in this paper we will present a solution which is based on network coding over peer to peer (P2P) network to fix the problem automatically online, named Cable modem Auto-Recovery (CAROL).
  • Keywords
    cable television; calibration; data handling; hybrid fibre coax networks; maintenance engineering; modems; network coding; peer-to-peer computing; CAROL; DOCSIS product; HFC network; P2P auto-recovery method; cable modem auto-recovery; calibration table; data-over-cable service interface specification product; device replacement; digital certificates; factory data; maintenance branch; malfunction product handling; network coding; peer to peer network; Cable TV; Calibration; Communication cables; Hybrid fiber coaxial cables; IP networks; Modems; Peer to peer computing; DOCSIS; P2P; network coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
  • Conference_Location
    Kitakushu
  • Print_ISBN
    978-1-4673-2138-9
  • Type

    conf

  • DOI
    10.1109/ICGEC.2012.26
  • Filename
    6456852