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Abstract: We present a scheme for eciently administrating a set of distributed simulation servers which attend requests from a number of users. These can be either sequential or parallel simulation models, or random combinations of the two. We treat each server as a BSP machine and organize our scheduling strategy upon the cost prediction and computation model supported by it. Empirical results show that the proposed strategy is able to achieve near optimal performance. (Update)
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BibTeX entry: (Update)
@misc{ marin-distributed,
author = "Mauricio Marin and Carolina Bonacic",
title = "Distributed Allocation of Discrete-Event Simulation Servers",
url = "citeseer.ist.psu.edu/715688.html" }
Citations (may not include all citations):735 A bridging model for parallel computation (context) - Valiant - 1990
434 Parallel discrete event simulation (context) - Fujimoto - 1990
59 Performance of Time Warp under synthetic work-loads (context) - Fujimoto - 1990
50 Parallel simulation today - Nicol, Fujimoto - 1994
16 Technical Report PRG-TR (context) - Skillicorn, Hill et al. - 1996
10 IDES: A Java-based distributed simulation engine - Nicol, Johnson et al. - 1998
7 Performance prediction of a parallel simulator - Liu, Nicol et al. - 1999
5 Time Warp on BSP Computers (context) - Mar - 1998
4 Discrete-event simulation on the bulk-synchronous parallel m.. (context) - Mar - 1998
4 Performance modeling of the IDES Framework (context) - Nicol, Johnson et al. - 1997
1 Analysis of ecient synchronization in bulk-synchronous paral.. (context) - Mar - 2002
1 Towards automated performance prediction in bulk-synchronous.. (context) - Mar - 1999
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