Title :
Scenario-driven composition of context-aware simulation components
Author :
Hu, Peng ; Shen, Jianjing ; Tao, Linbo
Author_Institution :
School of Arts and Sciences, Information Engineering University Zhengzhou, China
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 :
Analytical models; Context; Context modeling; Finite element analysis; Interoperability; Pragmatics; composition; context-aware; scenario;
Conference_Titel :
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4799-5457-5
DOI :
10.1109/ICSAI.2014.7009300