Object-oriented simulation languages and environments: A four-level architecture

Object-Oriented Simulation: Reusability, Adaptability, Maintainability

Volumn , Issue , 1996, Pages 53-87

  Miller, John A ^a   Potter, Walter D ^a   Kochut, Krys J ^a   Rarnesh, Deepa ^a  

^a University of Georgia ^*  (United States)

Author keywords

Integrated information systems; Object oriented databases; Object oriented simulation; Repositories; Simulation modeling environments

Indexed keywords

C++ (PROGRAMMING LANGUAGE); COMPUTER SIMULATION; COMPUTER SIMULATION LANGUAGES; COMPUTER SOFTWARE; LIFE CYCLE; OBJECT-ORIENTED DATABASES;

CONCEPTS AND FEATURES; INTEGRATED INFORMATION SYSTEM; OBJECT ORIENTED APPROACH; OBJECT ORIENTED PARADIGM; OBJECT ORIENTED SIMULATION; OBJECT-ORIENTED CONCEPTS; REPOSITORIES; REQUIREMENTS ANALYSIS;

OBJECT ORIENTED PROGRAMMING;

EID: 80052386702     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1109/9780470545416.ch2     Document Type: Chapter

References (51)

1. O. Balci and R. E. Nance, “Simulation model development environments: A research prototype," J. Opere Res. Soc., vol. 38, no. 8, 1987, pp. 753-763.
2. G. Birtwistle et al., SIMULA Begin. Studentlitertur and Auerbach Publishers, 1973.
3. G. Birtwistle, DEMOS: A System/or Discrete Event Modelling on SIMULA. New York: Springer-Verlag, 1987.
4. CACI, MODSIM II: The Language for Object-Oriented Simulation, Los Angeles, CA, Jan. 1990.
5. M. A. Centeno and C. R. Standridge, “Databases: Designing and developing integrated simulation modeling environments," in Proc. 1993 Winter Simulation Con!, Los Angeles, CA, 1993, pp. 526-534.
6. P. Chen, “The entity-relationship model-Toward a unified view of data," ACMTrans. Database Syst., vol. 1, Mar. 1976.
7. A. Cornelio and S. B. Navathe, “Applying active database models for simulation," in Proc. 1993 Winter Simulation Conf., Los Angeles, CA, 1993, pp. 535-543.
8. L. M. L. Delcambreand L. F.Pollacia, “The objectflowmodelfor data-based simulation, " in Proc. 1993 Winter Simulation Conf., Los Angeles, CA, 1993, pp. 519-525.
9. P. A. Fishwick, “Sim Pack: Getting started with simulation programmingin C and C++," in Proc. 1992 Winter Simulation Conf., Arlington, VA, Dec. 1992, pp. 154-162.
10. M.S.Fox et al., “Knowledge-basedsimulation: An artificialintelligenceapproach to system modeling and automatingthe simulationlife cycle," in Artificial Intelligence, Simulation and Modeling, L. E. Widman, K. A. Loparo, and N. R. Nielsen, Eds. New York: Wiley Interscience, 1989.
11. A. Goldfine, Information Resource Dictionary System Requirements Specification Standing Document, NIST, Feb. 1993.
12. D. C. Grunwald, A User’s Guideto AWES/ME: An Object Oriented Parallel Programming and Simulation System, Tech. Rep., Univ. Colorado, Boulder, 1991.
13. D. C. Grunwald, User’s Guide to AWESIME-II: A Widely Extensible Simulation Envirol UUllt t Tech. Rep., Univ. Colorado, Boulder, 1992.
14. M. Ritz, H. Werthner, and T. Oren, “Employing databases for large scale reuse of simulation models," in Proc. 1993 Winter Simulation Conf., Los Angeles, CA, 1993, pp. 544-551.
15. L. Hobbs and K. England, Digital’s CDD/Repository. Digital Press, 1993.
16. R. E. Hodges, Repository Context, Information Resource Dictionary System (IRDS), Reference Model Tech. Rep., NIST, Sept. 1992.
17. R. Hull and R. King, “Semantic database modeling: Survey, applications, and research issues, “ACMComputing Surveys, vol. 19, Sept. 1987.
18. K. J. Kochut, J. A. Miller, and W. D. Potter, “Design of a CLOS version of Active KDL:Aknowledge/database systemcapableof query drivensimulation," in Proc. 1991 AI and Simulation Conj., New Orleans, LA, Apr. 1991, pp. 139-145.
19. M. H. Law, Guideto Information Resource Dictionary System Applications:General Concepts and Strategic Systems Planning, NBS Special Publ. 500152, 1988.(NBS is now NIST.)
20. D. Lea, User’s Guideto the GNUC++ Library. Boston, MA: Free Software Foundation, Inc., 1992.
21. M. Lenard, “Aprototypeimplementationof a modelmanagementsystemfor discrete-eventmodels," in Proc. 1993 Winter Simulation Conf., Los Angeles, CA, 1993, pp. 560-568.
22. D. McArthur, P. Klahr, and S. Narain, The ROSS Language Manual, The RANDCorp., N-1854-1-AF, Sept. 1985.
23. J. A. Miller and O. R. Weyrich, Jr., “Query driven simulation using SIMODULA," in Proc. 22nd Annu. Simulation Symp., Tampa, FL, Mar. 1989, pp. 167-181.
24. J. A. Miller et al., “Model instantiationfor query driven simulationin Active KDL," in Proc. 23rd Annu. Simulation Symp., Nashville, TN, Apr. 1990, pp. 15-32.
25. J. A. Miller and N. D. Griffeth, “Performance modeling of database and simulation protocols: Design choices for query driven simulation," in Proc. 24th Annu. Simulation Symp., New Orleans, LA, Apr. 1991, pp. 205-216.
26. J. A. Miller et al., “Query-drivensimulationusing Active KDL:Afunctional object-oriented database system," Int. J. Comput. Simulation, vol. 1, no. 1, 1991, pp. 1-30.
27. J. A. Miller et al., “The Active KDLobject-orienteddatabase system and its applicationto simulationsupport, " J. Object-Oriented Programming (Special Issue on Databases), vol. 4, July-Aug. 1991, pp. 30-45.
28. J. A. Miller, W.D. Potter, and K. J. Koehut, “Knowledge, data, and models:Takingan objectiveorientation on integrating these three, “IEEE Potentials, vol. 11, Dec. 1992, pp. 13-17.
29. J. A. Miller et al., Design ofa WSRC Repository with an End-User Emphasis, Tech. Rep., Westinghouse Savannah River Co. (WSRC), Aiken, SC, Jan. 1994.
30. J. A. Miller, W. D. Potter, and K. J. Kochut, “Repository design with an end-user emphasis," in Proc. 5th Int. Users Group Conf.: Repository/Archltecture/Development, Chicago, IL, Nov. 1994.
31. J. A. Miller, Guest Ed., Int. J. Comput. Simulation (Special Issue on Object Oriented Simulationand Simulation Support), vol. 5, no. 4, 1995.
32. W. D. Potter and L. Kerschberg, “Aunifiedapproachto modelingknowledge and data," in Proc. IFIP TC2 Conf. Knowledge and Data (DS-2), Algarve, Portugal, Nov. 1986. [Publishedby North-Hollandas Data and Knowledge DS-2 (1988).]
33. W. D. Potter and R. P.Trueblood, “Traditional, semanticand hyper-semantic approaches to data modeling, “IEEE Computer, vol. 21, June 1988, pp. 5363.
34. W. D. Potter, R. P. Trueblood, and C. M. Eastman, “Hyper-semantic data modeling, “Data & Knowledge Eng., vol. 4, 1989, pp. 69-90.
35. W. D. Potter et al., “Supporting an intelligent simulation/modeling environment using the Active KDL object-oriented database programming language," in Proc. 21st Annu. Pittsburgh Conf. Modeling and Simulation, vol. 21, part 4, Pittsburgh, PA, May 1990, pp. 1895-1900.
36. W. D. Potter et al., “Extending decision support systems: The integration of data, knowledge, and model management," Annals Opere Res. (Special Issue on Model Management), vol. 38, 1992, pp. 501-527.
37. W.D. Potter et al., “The evolution ofthe knowledge/data model," Int. J.Expert Syst. (Special Issue on Artificial Intelligence and Databases), vol. 6, no. 1, 1993, pp. 39-81.
38. W. D. Potter, J. A. Miller, and K. J. Kochut, “A hyper-semantic approach to intelligent information systems," Integrated Comput.-Aided Eng. (Special Issue on Intelligent Information Systems), 1993.
39. Y.V.Reddy et al., “The knowledge-based simulation system," IEEE Software, Mar. 1986.
40. M. Rovira, D. Spooner, and J. Haddock, “The concept ofviews in simulation," in Proc. 1993 Winter Simulation Conf., Los Angeles, CA, 1993, pp. 552-559.
41. J. Rumbaugh et al., Object-Oriented Modeling and Design. Englewood Cliffs, NJ: Prentice-Hall, 1991.
42. A. R. Simon, The Integrated CASE Tools Handbook. New York: Van Nostrand Reinhold, 1993.
43. C. Standridge and A. Pritsker, TESS: The Extended Simulation Support System. New York: Halstead Press, 1987.
44. B. Stroustrup, The C++ Programming Language, 2nd OO. Reading, MA:Addison-Wesley, 1991.
45. A. Tannenbaum, Implementing a Corporate Repository: The Models Meet Reality. New York: Wiley, 1994.
46. A. K. Thompson, “CASE data integration: The emerging international standards," ICL Tech. J., May 1992, pp. 5-6.
47. G. Thompson, “The need for CASE integration, " Tech. Rep., R&O, Inc., Apr. 1993.
48. G. Wilkie, Object-Oriented Software Engineering: The Professional Developer’s Guide. Reading, MA: Addison-Wesley, 1993.
49. G. Zhang and B. P. Zeigler, “The system entity structure: Knowledge representation for simulation modeling and design," in Artificial Intelligence, Simulation and Modeling, L. E. Widman, K. A. Loparo, and N. R. Nielsen, Eds. New York: Wiley Interscience, 1989.
50. B. P. Zeigler, “Hierarchical, modular discrete event modelling in an object oriented environment," Simulation, vol. 49, no. 5, Nov. 1987, pp. 218-230.
51. B. P. Zeigler, Object-Oriented Simulation with Hierarchical, Modular Models:Intelligent Agents and Endomorphic Systems. Boston, MA: Academic Press, 1990.