Analysing Probabilistically Constrained Optimism

M Lees, B Logan, Georgios Theodoropoulos

Research output: Contribution to journalArticle

7 Citations (Scopus)


In previous work we presented the DTRD algorithm, an optimistic synchronization algorithm for parallel discrete event simulation of multi-agent systems, and showed that it outperforms Time Warp and time windows on a range of test cases. DTRD uses a decision-theoretic model of rollback to derive an optimal time to delay read event so as to maximize the rate of LVT progression. The algorithm assumes that the inter-arrival times (both virtual and real) of events are normally distributed. In this paper we present a more detailed evaluation of the DTRD algorithm, and specifically how the performance of the algorithm is affected when the inter-arrival times do not follow the assumed distributions. Our analysis suggests that the performance of the algorithm is relatively insensitive to events whose inter-arrival times are not normally distributed. However, as the variance of event inter-arrival times increases, its performance degrades to that of Time Warp. The evaluation approach we present is generally applicable, and we sketch how a similar analysis may be performed for two other decision-theoretic optimistic synchronization algorithms. Copyright (C) 2009 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)1467-1482
Number of pages16
JournalConcurrency and Computation: Practice & Experience
Issue number11
Publication statusPublished - 10 Aug 2009


  • multi-agent systems
  • optimistic synchronization
  • distributed simulation


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