• DocumentCode
    1797761
  • Title

    Scenario-driven composition of context-aware simulation components

  • Author

    Peng Hu ; Jianjing Shen ; Linbo Tao

  • Author_Institution
    Sch. of Arts & Sci., Inf. Eng. Univ., Zhengzhou, China
  • fYear
    2014
  • fDate
    15-17 Nov. 2014
  • Firstpage
    431
  • Lastpage
    435
  • Abstract
    Component-based modeling and simulation brings a number of advantages to large-scale, complex simulation. How to achieve higher level composability in model composition proves to be more and more important. Based on pragmatic composability analysis, an Extended Finite State Machine-based Context-Aware simulation component formal description was proposed, including the context constraints and conditions of simulation environment. An integrated progress of component composition was proposed, and the relationship among model discovery, composition verification, simulation running and simulation context was considered. Furthermore, the prototype system to actually practice this methodology was developed. Analysis showed scenario driven context-aware component composition method was able to automatically discover large numbers of components needed for a simulation on pragmatic level, which is of great help for rapid configuration of simulation environment.
  • Keywords
    computational linguistics; finite state machines; ubiquitous computing; composition verification; context-aware simulation component formal description; extended finite state machine; model discovery; pragmatic composability analysis; Analytical models; Context; Context modeling; Finite element analysis; Interoperability; Pragmatics; composition; context-aware; scenario;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2014 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-5457-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2014.7009327
  • Filename
    7009327