• DocumentCode
    120312
  • Title

    scICN: Scientific information control nets

  • Author

    Hyun Ahn ; Minjae Park ; Kwanghoon Pio Kim

  • Author_Institution
    Dept. of Comput. Sci., KYONGGI Univ., Suwon, South Korea
  • fYear
    2014
  • fDate
    16-19 Feb. 2014
  • Firstpage
    1158
  • Lastpage
    1161
  • Abstract
    In this paper, we propose a formal description for representing the scientific workflow model supporting process-driven scientific behaviors in data intensive experiment procedures and large scale computing environments. We try to make a conceptual extension of the information control net methodology so as to be applicable to the scientific workflow models and systems, and dub it scICN (Scientific Information Control Net). Upon the SClCN-based scientific workflow model, we exemplify its application to a pseudo SClCN-based scientific workflow model.
  • Keywords
    natural sciences computing; workflow management software; data intensive experiment procedures; information control net methodology; large scale computing environments; process-driven scientific behaviors; pseudo SClCN-based scientific workflow model; scientific information control nets; Analytical models; Computational modeling; Computer science; Data models; Educational institutions; Logic gates; Mathematical model; dominancy; exception handling and recovery; load-balancing; scientific workflow; verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2014 16th International Conference on
  • Conference_Location
    Pyeongchang
  • Print_ISBN
    978-89-968650-2-5
  • Type

    conf

  • DOI
    10.1109/ICACT.2014.6779140
  • Filename
    6779140