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On the distributed orchestration of stochastic discrete event simulations
Author(s) -
Sui Zhiquan,
Harvey Neil,
Pallickara Shrideep
Publication year - 2013
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.3121
Subject(s) - discrete event simulation , event (particle physics) , computer science , orchestration , discrete event dynamic system , stochastic simulation , distributed computing , stochastic process , probability distribution , mathematical optimization , theoretical computer science , algorithm , simulation , mathematics , discrete system , statistics , art , musical , physics , quantum mechanics , visual arts
SUMMARY Discrete event simulations are a powerful technique for modeling stochastic systems with multiple components where interactions between these components are governed by the probability distribution functions associated with them. Complex discrete event simulations are often computationally intensive with long completion times. This paper describes our solution to the problem of orchestrating the execution of a stochastic, discrete event simulation where computational hot spots evolve spatially over time. Our performance benchmarks report on our ability to balance computational loads in these settings. Copyright © 2013 John Wiley & Sons, Ltd.