Building a model for real-time simulation

Future Generation Computer Systems

Volumn 17, Issue 5, 2001, Pages 585-600

  Lee, Kangsun ^a,c   Fishwick, Paul A ^b  

^a Myong Ji University   (South Korea)

^b UNIVERSITY OF FLORIDA   (United States)

^c Ewha Womans University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER ARCHITECTURE; CONSTRAINT THEORY; DATA STRUCTURES; MATHEMATICAL MODELS; OBJECT ORIENTED PROGRAMMING; REAL TIME SYSTEMS;

OBJECT-ORIENTED PHYSICAL MULTIMODELING;

COMPUTER SIMULATION;

EID: 0034831994     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-739X(00)00086-8     Document Type: Article

References (35)

1. A.J. Garvey, V.R. Lesser, A survey of research in deliberative real-time artificial intelligence, UMass Computer Science Technical Report No. 93-84, 1993.
2. A.J. Garvey, V.R. Lesser, Design-to-time real-time scheduling, IEEE Trans. Syst. Man Cybernet. 23 (6) (1993) 1491-1502 .
3. K. Lee, P.A. Fishwick, Generation of multimodels and selection of the optimal abstraction level for real-time simulation, in: Proceedings of the AeroSense'98, 1998, pp. 164-175.
4. Digital, in: Proceedings of the Symposium on CASE for Real-Time Systems, Digital Consulting, Andover, MA, 1989.
5. A. Burns, A.J. Wellings, Hrt-hood: a structured design method for hard real-time systems, Real-Time Syst. 6 (1994) 73-114.
6. H. Kopetz, R. Zainlinger, G. Fohler, H. Kantz, P. Puschner, W. Schutz, The design of real-time systems: from specification to implementation and verification, Software Eng. 6 (1991) 72-82.
7. J.S. Lark, L.D. Erman, S. Forrest, K.P. Gostelow, Concepts, methods, and languages for building timely intelligent systems, Real-Time Syst. 2 (1990) 127-148.
8. K. Ramamritham, J.A. Stankovic, Dynamic task scheduling in distributed hard real-time systems, IEEE Software 1 (3) (1984) 65-75.
9. J.A. Stankovic, K. Ramamritham, S. Cheng, Evaluation of a flexible task scheduling algorithm for distributed hard real-time systems, IEEE Trans. Comput. 34 (12) (1985) 1130-1143.
10. B. D'Ambrosio, Resource bounded-agents in an uncertain world, IJCAI, 1989.
11. R.E. Korf, Depth-limited search for real-time problem solving, Real-Time Syst. 2 (1990) 7-24.
12. A. Barr, E.A. Feigenbaum, The Handbook of Artificial Intelligence, William Kaufmann, 1981.
13. A.J. Garvey, V.R. Lesser, Design-to-time scheduling with uncertainty, UMass Computer Science Technical Report No. 95-03, 1995.
14. P.A. Fishwick, A visual object-oriented multimodeling design approach for physical modeling, University of Florida, Technical Report No. 9, 1997.
15. R. Arnold, F. Mueller, D. Whalley, Bounding worst-case instruction cache performance, in: Proceedings of the IEEE Symposium on Real-Time Systems, 1994, pp. 172-181.
16. S. Lim, Y. Bae, et al., An accurate worst case timing analysis for rise processors, in: Proceedings of the IEEE Symposium on Real-Time Systems, 1994, pp. 97-108.
17. M.G. Harmon, T. Baker, D.B. Walley, A retargetable technique for predicting execution time of code segments, Real-Time Syst. 7 (2) (1994) 130-159.
18. B. Korel, H.F. Wedde, D.M. Huizinga, Formal timing analysis for distributed real-time programs, Real-Time Syst. 7 (1) (1994) 58-90.
19. D. Caughlin, A. Sisti, A summary of model abstraction techniques, in: Proceedings of the SPIE'97, 1997, pp. 2-13.
20. K. Lee, RA. Fishwick, Dynamic model abstraction, in: Proceedings of the Winter Simulation Conference, 1996, pp. 764-771.
21. K. Lee, P.A. Fishwick, A semi-automated method for dynamic model abstraction, in: Proceedings of the AeroSense'97, 1997, pp. 31-41.
22. B.P. Zeigler, Theory of Modelling and Simulation, Wiley, New York, 1976.
23. B.P. Zeigler, Object Oriented Simulation with Hierarchical, Modular Models: Intelligent Agents and Endomorphic Systems, Academic Press, New York, 1990.
24. P.A. Fishwick, Simulation Model Design and Execution: Building Digital Worlds, Prentice-Hall, Englewood Cliffs, NJ, 1995.
25. Timothy Masters, Neural, Novel and Hybrid Algorithms for Time Series Prediction, Wiley, New York, 1995.
26. K. Lee, RA. Fishwick, A methodology for dynamic model abstraction, Trans. Soc. Comput. Simul. Int. 13 (4) (1997) 217-229.
27. K. Lee, OOPM/RT: a multimodeling methodology for real-time simulation, Ph.D. Dissertation, Department of Computer Information Science and Engineering, University of Florida, 1998.
28. S. Liu, Z. Chingand, Algorithms for scheduling imprecise computations, IEEE Comput. 24 (5) (1991) 58-68.
29. D.P. Ravindran, J.J. Solberg, Operations Research, Wiley, New York, 1987.
30. CPLEX, Using the CPLEX Callable Library, CPLEX Optimization, Inc., 1995.
31. L. Gross, 1996. http://www.tiem.utk.edu/gross/atlss_www/ atlss_frame.html.
32. A.M. Law, W.D. Kelton, Simulation Modeling and Analysis, McGraw-Hill, New York, 1991.
33. P.K. Davis, J. Bigelow, Introduction to multiresolution modeling (mrm) with an example involving precision fires, in: Proceedings of the SPIE: Enabling Technology for Simulation Science II, 1998, pp. 14-27.
34. G. Kim, A model validation methodology for iso lating inconsistent knowledge between fuzzy rule-based and quantitative models using fuzzy simulation, Ph.D. Dissertation, Department of Computer Information Science and Engineering, University of Florida, 1998.
35. G.W. Rutledge, Dynamic selection of models, Ph.D. Dissertation, Department of Medical Information Sciences, Stanford University, 1995.