Rapid synthesis of high-level architecture-based heterogeneous simulation: A model-based integration approach

SIMULATION

Volumn 88, Issue 2, 2012, Pages 217-232

  Hemingway, Graham ^a   Neema, Himanshu ^a   Nine, Harmon ^a   Sztipanovits, Janos ^a   Karsai, Gabor ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

distributed simulation; domain specific modeling language; heterogeneous simulation; high level architecture; model based integration; multi paradigm modeling

Indexed keywords

DISTRIBUTED SIMULATIONS; DOMAIN-SPECIFIC MODELING LANGUAGE; HETEROGENEOUS SIMULATION; HIGH LEVEL ARCHITECTURE; MODEL-BASED INTEGRATION; MULTI PARADIGM MODELING;

ARCHITECTURE; CIRCUIT SIMULATION; COMMAND AND CONTROL SYSTEMS; COMPUTER SIMULATION LANGUAGES; INTEGRATION; INTEROPERABILITY; SEMANTICS;

COMPUTER SIMULATION;

EID: 84855646869     PISSN: 00375497     EISSN: 17413133     Source Type: Journal    
DOI: 10.1177/0037549711401950     Document Type: Article

References (35)

1. Alberts D.S. Hayes R.E. Understanding command and control. CCRP Publication Series, 2006.
2. HLA standard. ‘IEEE standard for modeling and simulation (M&S) high-level architecture (HLA) – framework and rules’, http://ieeexplore.ieee.org/servlet/opac?punumber=7179.
3. Dahmann J.S. Fujimoto R.M. Weatherly R.M. The Department of Defense high level architecture. In: Proceedings of the 1997 Winter Simulation Conference, 1997, pp.142–149.
4. Sztipanovits J. Karsai G. Model-integrated computing. IEEE Comput 1997; 30: 110–112.
5. Portico RTI. http://www.porticoproject.org.
6. UML – Unified Modeling Language. ‘The Object Management Group’, http://www.uml.org.
7. de Laura J. Vangheluwe H. AToM 3: a tool for multi-formalism and meta-modeling. Lect Notes Comput Sci 2002; 2306: 174–188.
8. Tolvanen J.P. Lyytinen K. Flexible method adaptation in CASE. The metamodeling approach. Scand J Inf Sci 1993; 5: 71–77.
9. Cook S. Jones G. Kent S. Wills A. Domain-specific development with visual studio DSL tools. Addison-Wesley Professional, 2007.
10. Matlab/Simulink. ‘Get Started with MATLAB’, http://www.mathworks.com.
11. Google Earth. http://earth.google.com.
12. OMNeT++. http://www.omnetpp.org.
13. CPN Tools. http://cpntools.org.
14. DEVSJAVA. http://devs-suitesim.sf.net.
15. Delta3D. http://www.delta3d.org.
16. Westergaard M. The BRITNeY Suite: A Platform for Experiments. In: Proceedings of 7th Workshop on Practical Use of Coloured Petri Nets and the CPN Tools, 2006.
17. Vangheluwe H. de Lara J. Mosterman P. An introduction to multi-paradigm modeling and simulation. In: Proceedings of AIS2002, 2002, pp.9–20.
18. Mosterman J. Vangheluwe H. Computer automated multi-paradigm modeling: an introduction. Simulation 2004; 80: 433.
19. Agrawal A. Bakshi A. Davis J. Eames B. Ledeczi A. Mohanty S. et al. MILAN: a model based integrated simulation. In: Proceedings of the 2001 ACM SIGPLAN Workshop on Optimization of Middleware and Distributed Systems, 2001, pp.82–93.
20. Hoffman A. Kogel T. Meyr H. A Framework for fast hardware-software co-simulation. In: Proceedings of the Conference on Design, Automation and Test in Europe, 2001, pp.760–765.
21. Rowson J. Hardware/software co-simulation. In: Proceedings of the Design Automation Conference, 1994, pp.439–440.
22. Becker D. Singh R.K. Tell S.G. An engineering environment for hardware/software co-simulation. In: Proceedings of the 29th ACM/IEEE Conference on Design Automation, 1992, pp.129–134.
23. Zhang F. Huang B. HLA-based network simulation for interactive communication system. In: Proceedings of the First Asia International Conference on Modelling & Simulation, 2007, pp.177–180.
24. Pawletta S. Drewelow W. Pawletta T. HLA-based simulation within an interactive engineering environment. In: Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications (DS-RT’00), 2000, p.97.
25. Henriksen J.O. SLX: The X is for extensibility. In: Proceedings of the 32nd Conference on Winter Simulation (WSC ’00), 2000, pp.183–190.
26. Klein U. Straburger S. Beikrich J. Distributed Simulation with JavaGPSS based on the high level architecture. In: Proceedings of the 1998 International Conference on Web-based Modeling and Simulation, 1998, pp.85–90.
27. Zeigler B.P. Lee J.S. Theory of quantized systems: formal basis for DEVS/HLA distributed simulation environment. In: Enabling Technology for Simulation Science (II), SPIE AeoroSense, 1998; Vol. 3369: 1998, pp.49–58.
28. Zeigler B.P. Ball G. Cho H.J. Lee J.S. Sar-joughian H. Implementation of the DEVS formalism over the HLA/RTI: problems and solutions. In: Spring Simulation Interoperability Workshop (SIW), 1999, SISO.
29. Zacharewicz G. Frydman C. Giambiasi N. Mapping PIOVRA in GDEVS/HLA environment. In: Proceedings of Summer Simulation Multiconference (SummerSim’07), The Society for Modeling and Simulation International, 2007, pp.1086–1093.
30. HLA Toolbox for developing and executing HLA federates from MATLAB. http://www.mathworks.com/products/connections/product_main.html?prod_id=696&prod_name=HLA%20Toolbox.
31. ForwardSim Inc. http://www.forwardsim.com/.
32. MATLAB and Simulink interfaces to HLA and DIS based distributed simulation environments. http://www.mathworks.com/products/connections/product_main.html?prod_id=696&prod_name=HLA%20Toolbox.
33. MÄK Technologies. http://www.mak.com/.
34. Sarjoughian H.S. Zeigler B.P. DEVS and HLA: complementary paradigms for modeling and simulation. Trans Soc Comput Simulat Int 2000; 17: 187–197.
35. Lu T. Lee C. Hsia W. Lin M. Supporting large-scale distributed simulation using HLA. ACM Trans Model Comput Simulat 2000; 10: 268–294.