Share Email Print

Proceedings Paper

Multimodeling methodology for real-time simulation
Author(s): Kangsun Lee; Paul A. Fishwick
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Real-time systems differ from traditional data processing systems in that they are constrained by certain nonfunctional requirements (e.g., dependability and timing). Although real-time systems can be modeled using the standard structured design methods, these methods lack explicit support for expressing the real-time constraints. Our objective is to present a modeling methodology in which the real-time systems can be modeled efficiently to meet the given simulation objective and the model's time requirements. We developed a modeling methodology that functional requirements of real-time systems are captured with multiple levels of abstraction. Our approach to guaranteeing timing constraints is to vary the level of abstraction so that the simulation can deliver the desired results within the given amount of time. Two selection approaches have been developed to determine the optimal abstraction level that achieves the best tradeoff model quality for time: (1) IP (Integer Programming)-based approach and (2) Search-based approach. A more detailed model (low abstraction level) is selected when we have ample time, while a less detailed model (high abstraction level) is used when there is an imminent time constraint. One of the contributions of our research is that with the ability to select an optimal model for a given deadline, we provide a way to handle real-time constraints for the simulation group. Also, the determined level of abstraction provides the perspective which allows modelers to configure less important components of the system for a given time- constraint situation.

Paper Details

Date Published: 22 June 1999
PDF: 12 pages
Proc. SPIE 3696, Enabling Technology for Simulation Science III, (22 June 1999); doi: 10.1117/12.351198
Show Author Affiliations
Kangsun Lee, SamSung Electronics (South Korea)
Paul A. Fishwick, Univ. of Florida (United States)

Published in SPIE Proceedings Vol. 3696:
Enabling Technology for Simulation Science III
Alex F. Sisti, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?