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ABSTRACT
Discrete event dynamical systems are used to model a number of engineering applications ranging from communication networks, distributed computing systems to manufacturing systems. A new analytical model is proposed for the analysis of asynchronous, optimistic distributed simulation of discrete event dynamical systems. The performance of traditional timewarp algorithms and that of a new rollback algorithm, Wolf, are examined in this framework and a comparison is attempted. A few preliminary implementations of Wolf on a distributed computing system confirm analytical results predicting a considerable reduction in error propagation, a decrease in the number of cancellations and an enhancement in the forward computation.
CITED BY 26
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Anthony P. Galluscio , John T. Douglass , Brian A. Malloy , A. Joe Turner, A comparison of two methods for advancing time in parallel discrete event simulation, Proceedings of the 27th conference on Winter simulation, p.650-657, December 03-06, 1995, Arlington, Virginia, United States
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Sudhir Srinivasan , Paul F. Reynolds, Jr., NPSI adaptive synchronization algorithms for PDES, Proceedings of the 27th conference on Winter simulation, p.658-665, December 03-06, 1995, Arlington, Virginia, United States
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Yarong Tang , Kalyan S. Perumalla , Richard M. Fujimoto , Homa Karimabadi , Jonathan Driscoll , Yuri Omelchenko, Optimistic Simulations of Physical Systems Using Reverse Computation, Simulation, v.82 n.1, p.61-73, January 2006
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Yarong Tang , Kalyan S. Perumalla , Richard M. Fujimoto , Homa Karimabadi , Jonathan Driscoll , Yuri Omelchenko, Optimistic Parallel Discrete Event Simulations of Physical Systems Using Reverse Computation, Proceedings of the 19th Workshop on Principles of Advanced and Distributed Simulation, p.26-35, June 01-03, 2005
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