• DocumentCode
    2946768
  • Title

    Performance Evaluation of Home Gateway System Based on GSPN

  • Author

    Chen, Lin ; Wei, Shutao ; Shi, Linxiang

  • Author_Institution
    Dept. of Comput. & Technol., Shanghai Second Polytech. Univ., Shanghai, China
  • Volume
    3
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    803
  • Lastpage
    806
  • Abstract
    With the rapid development of Internet and home automation technology, the Internet-based home gateway system has become the focus in embedded areas. Home gateway system is a complex system with typical business process characteristics. However, there is little research work made on it with workflow principle. Still less some achievement in analyzing the time feature of the real time system service. In this paper, two modeling methods-GPSN and workflow are combined to model home gateway system. First, a GPSN workflow model is proposed. According to empirical data,certain parameters are assigned to each transition in the model. Then the time feature of status inquiry service is analyzed with performance analysis method based GSPN.Finally, some information, such as system bottleneck points,are obtained that facilitate further system optimization.
  • Keywords
    Internet; Petri nets; home automation; large-scale systems; optimisation; stochastic processes; GSPN; Internet; business process characteristics; complex system; embedded area; generalized stochastic Petri net; home automation technology; home gateway system; status inquiry service; system optimization; workflow principle; Area measurement; Embedded computing; Home automation; Internet; Man machine systems; Mechatronics; Performance analysis; Petri nets; Process control; Stochastic processes; GSPN; internet-based home gateway system; workflow net;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.223
  • Filename
    5203323