Distributed stochastic discrete-event simulation in parallel time streams

Quantitative stochastic simulation suffers from the fact that sound simulation studies require very long runlength to obtain the results with sufficient accuracy. We look at traditional approaches to distributed quantitative stochastic simulation and propose a new scenario, Multiple Replications in Parallel Time Streams (MRIP), that solves the problem in an efficient way. An implementation of MRIP in a simulation package AKAROA is also described. AKAROA accepts ordinary (non-parallel), simulation models and creates automatically the environment required for running MRIP on workstations of a local area network. Presented results show that MRIP offers linear speedup of simulation. Limitations of this scenario for running distributed quantitative stochastic simulation are also discussed.