Symbiotic Simulation
Posted on Wednesday, February 01, 2006 at 5:44 PM by Malcolm
Symbiotic Simulation
Symbiotic simulation is an emergent technology proposed by the Parallel and Distributed Simulation working group at the 2002 Dagstuhl seminar on Grand Challenges for Modelling and Simulation (Fujimoto et al., 2002). Es-sentially, a symbiotic simulation system consists of a simu-lation model interacting with the physical system in a mu-tually beneficial way. The simulation system benefits from the continuous supply of the latest data and the automatic validation of its simulation outputs, whereas the physical system benefits from optimized performance obtained from the analysis of simulation experiments. A symbiotic inte-gration of the real-time physical system and the corre-sponding decision support module will enable prompt re-sponse to be carried out to handle abrupt changes in the physical system. The figure below shows a generic structure of a symbiotic simulation system.
For more information, please refer to:
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Fujimoto, R., D. Lunceford, E. Page, and A. Uhrmacher. 2002. Technical
Report of the Dagstuhl-Seminar Grand Challenges for Modelling and
Simulation.
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Malcolm Yoke Hean Low, Stephen John Turner, Lai Peng Chan, Peter
Lendermann, Steve Buckley, Ding Ling and Hai Liang Peng, "Symbiotic
Simulation for Business Process Re-Engineering in High-tech
Manufacturing and Service Networks". In Proceedings of the 2007 Winter
Simulation Conference, pp. 586-576, December 9-12, 2007, Washington,
DC, USA. (download
pdf)
- Malcolm Yoke Hean Low, Lye Kong Wei, Peter Lendermann, Stephen John Turner, Surya Leo, and Reman Chim. "An Agent-based Approach for Managing Symbiotic Simulation of Semiconductor Assembly and Test Operations", In Proceedings of the 2005 International Conference on Autonomous Agent and Multiagent Systems (AAMAS), pp. 85-92, July 25-29, 2005, Utrecht, The Netherland. (download pdf)
Edited on: Monday, March 30, 2009 9:25 AM
