|
ABSTRACT
Although various forms of symbiosis are known in biology, only mutualism has been considered in the context of symbiotic simulation systems. In this paper, we explain why the original definition of symbiotic simulation systems is narrow and why it is important to consider other forms of symbiosis as well. As a consequence we propose an extended definition of symbiotic simulation systems motivated by symbiosis in biology. By using this extended definition, we identify five different types of symbiotic simulation systems which can be applied in various applications. We describe how single systems can be combined and propose a hybrid symbiotic simulation system in the context of semiconductor manufacturing.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
| |
1
|
V. Akcelik, J. Bielak, G. Biros, I. Epanomeritakis, O. Ghattas, L. F. Kallivokas, and E. J. Kim. A framework for on-line inversion-based 3D site characterization. In Proceedings of the International Conference on Computational Science , pages 717-724, 2004.
|
| |
2
|
S. Annan and J. Banks. Design of a knowledge-based on-line simulation system to control a manufacturing shop floor. IIE Transactions, 24(3):72-83, 1992.
|
| |
3
|
H. Aydt, S. J. Turner, W. Cai, and M. Y. H. Low. An agent-based generic framework for symbiotic simulation systems. In A. M. Uhrmacher and D. Weyns, editors, Agents, Simulation and Applications (to appear). Taylor & Francis, 2008.
|
| |
4
|
H. Aydt, S. J. Turner, W. Cai, M. Y. H. Low, P. Lendermann, and B. P. Gan. Symbiotic simulation control in semiconductor manufacturing. In Proceedings of the International Conference on Computational Science (to appear), 2008.
|
| |
5
|
J. Cortial, C. Farhat, L. J. Guibas, and M. Rajashekhar. Compressed sensing and time-parallel reduced-order modeling for structural health monitoring using a DDDAS. In Proceedings of the International Conference on Computational Science, pages 1171-1179, 2007.
|
| |
6
|
W. Davis. Handbook of simulation. In J. Banks, editor, On-Line Simulation: Need and Evolving Research Requirements , pages 465-516. Wiley-Interscience, 1998.
|
| |
7
|
A. de Bary. Die Erscheinung der Symbiose. Verlag von Karl J. Trübner, Strasbourg, 1879.
|
| |
8
|
A. Douglas. Symbiotic Interactions. Oxford University Press, 1994.
|
| |
9
|
C. C. Douglas, J. D. Beezley, J. L. Coen, D. Li, W. Li, A. K. Mandel, J. Mandel, G. Qin, and A. Vodacek. Demonstrating the validity of a wildfire DDDAS. In Proceedings of the International Conference on Computational Science, pages 522-529, 2006.
|
| |
10
|
Glenn R. Drake , Jeffrey S. Smith, Simulation system for real-time planning, scheduling, and control, Proceedings of the 28th conference on Winter simulation, p.1083-1090, December 08-11, 1996, Coronado, California, United States
[doi> 10.1145/256562.256914]
|
| |
11
|
H. ElMaraghy, I. Abdallah, and W. ElMaraghy. On-line simulation and control in manufacturing systems. CIRP Annals-Manufacturing Technology, 47(1):401-404, 1998.
|
| |
12
|
R. Fujimoto, D. Lunceford, E. Page, and A. M. U. (editors). Grand challenges for modeling and simulation: Dagstuhl report. Technical Report 350, Schloss Dagstuhl. Seminar No 02351, August 2002.
|
| |
13
|
|
| |
14
|
R. M. Fujimoto, R. Guensler, M. Hunter, H. K. Kim, J. Lee, J. Leonard, M. Palekar, K. Schwan, and B. Seshasayee. Dynamic data driven application simulation of surface transportation systems. In Proceedings of the International Conference on Computational Science, pages 425-432, 2006.
|
| |
15
|
F. Kamrani. Using on-line simulation in UAV path planning. Licentiate Thesis in Electronics and Computer Systems, KTH, Stockholm, Sweden, 2007.
|
| |
16
|
|
 |
17
|
|
| |
18
|
C. Kennedy, G. K. Theodoropoulos, V. Sorge, E. Ferrari, P. Lee, and C. Skelcher. AIMSS: An architecture for data driven simulations in the social sciences. In Proceedings of the International Conference on Computational Science, pages 1098-1105, 2007.
|
| |
19
|
D. Knight, Q. Ma, T. Rossman, and Y. Jaluria. Evaluation of fluid-thermal systems by dynamic data driven application systems - part ii. In Proceedings of the International Conference on Computational Science, pages 1189-1196, 2007.
|
 |
20
|
Malcolm Yoke Hean Low , Kong Wei Lye , Peter Lendermann , Stephen John Turner , Reman Tat Wee Chim , Surya Hadisaputra Leo, An agent-based approach for managing symbiotic simulation of semiconductor assembly and test operation, Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, July 25-29, 2005, The Netherlands
[doi> 10.1145/1082473.1082809]
|
| |
21
|
G. R. Madey, A.-L. Barabási, N. V. Chawla, M. Gonzalez, D. Hachen, B. Lantz, A. Pawling, T. Schoenharl, G. Szabó, P. Wang, and P. Yan. Enhanced situational awareness: Application of DDDAS concepts to emergency and disaster management. In Proceedings of the International Conference on Computational Science, pages 1090-1097, 2007.
|
| |
22
|
K. Mahinthakumar, G. von Laszewski, S. R. Ranjithan, D. Brill, J. Uber, K. Harrison, S. Sreepathi, and E. M. Zechman. An adaptive cyberinfrastructure for threat management in urban water distribution systems. In Proceedings of the International Conference on Computational Science, pages 401-408, 2006.
|
| |
23
|
A. Majumdar, A. Birnbaum, D. J. Choi, A. Trivedi, S. K. Warfield, K. Baldridge, and P. Krysl. A dynamic data driven grid system for intra-operative image guided neurosurgery. In Proceedings of the International Conference on Computational Science, pages 672-679, 2005.
|
| |
24
|
J. Mandel, J. D. Beezley, L. S. Bennethum, S. Chakraborty, J. L. Coen, C. C. Douglas, J. Hatcher, M. Kim, and A. Vodacek. A dynamic data driven wildland fire model. In Proceedings of the International Conference on Computational Science, pages 1042-1049, 2007.
|
| |
25
|
J. Mandel, M. Chen, L. P. Franca, C. J. Johns, A. Puhalskii, J. L. Coen, C. C. Douglas, R. Kremens, A. Vodacek, and W. Zhao. A note on dynamic data driven wildfire modeling. In Proceedings of the International Conference on Computational Science, pages 725-731, 2004.
|
| |
26
|
J. D. McCalley, V. Honavar, S. M. Ryan, W. Q. Meeker, D. Qiao, R. A. Roberts, Y. Li, J. Pathak, M. Ye, and Y. Hong. Integrated decision algorithms for autosteered electric transmission system asset management. In Proceedings of the International Conference on Computational Science , pages 1066-1073, 2007.
|
| |
27
|
J. D. McCalley, V. Honavar, S. M. Ryan, W. Q. Meeker, R. A. Roberts, D. Qiao, and Y. Li. Auto-steered information-decision processes for electric system asset management. In Proceedings of the International Conference on Computational Science, pages 440-447, 2006.
|
| |
28
|
J. Michopoulos, P. Tsompanopoulou, E. N. Houstis, and A. Joshi. Agent-based simulation of data-driven fire propagation dynamics. In Proceedings of the International Conference on Computational Science, pages 732-739, 2004.
|
| |
29
|
J. Michopoulos, P. Tsompanopoulou, E. N. Houstis, J. R. Rice, C. Farhat, M. Lesoinne, and F. Lechenault. DDEMA: A data driven environment for multiphysics applications. In Proceedings of the International Conference on Computational Science, pages 309-318, 2003.
|
| |
30
|
National Science Foundation. DDDAS: Dynamic data driven applications systems. Program Solicitation 05-570, http://www.nsf.gov/pubs/2005/nsf05570/ nsf05570.htm, 2005.
|
| |
31
|
S. Paracer and V. Ahmadjian. Symbiosis: An Introduction to Biological Associations. Oxford University Press US, 2000.
|
| |
32
|
|
| |
33
|
Juergen Potoradi , Ong Siong Boon , Scott J. Mason , John W. Fowler , Michele E. Pfund, Semiconductor manufacturing: using simulation-based scheduling to maximize demand fulfillment in a semiconductor assembly facility, Proceedings of the 34th conference on Winter simulation: exploring new frontiers, December 08-11, 2002, San Diego, California
|
| |
34
|
W. Scholl and J. Domaschke. Implementation of modeling and simulation in semiconductor wafer fabrication with time constraints between wet etch and furnace operations. IEEE Transactions on Semiconductor Manufacturing, 13(3):273- 277, August 2000.
|
| |
35
|
D. Wilkinson. At cross purposes. Nature, 412(6846):485, 2001.
|
| |
36
|
L. Xue, Z. Hao, D. Li, and X. Liu. Dongting lake floodwater diversion and storage modeling and control architecture based on the next generation network. In Proceedings of the International Conference on Computational Science, pages 841-848, 2007.
|
| |
37
|
T. Ye, D. Harrison, B. Mo, B. Sikdar, H. Kaur, S. Kalyanaraman, B. Szymanski, and K. Vastola. Traffic management and network control using collaborative on-line simulation. In Proceedings of the IEEE International Conference on Communications , pages 204-209, 2001.
|
|