Uniformization and hybrid simulation/analytic models of renewal processes
Operations Research
ACM Transactions on Modeling and Computer Simulation (TOMACS)
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation optimization using simultaneous replications and event time dilation
Proceedings of the 29th conference on Winter simulation
Designing simultaneous simulation experiments
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Improved decision processes through simultaneous simulation and time dilation
Proceedings of the 32nd conference on Winter simulation
Stochastic Activity Networks: Structure, Behavior, and Application
International Workshop on Timed Petri Nets
A random variate generation method useful in hybrid simulation/analytical modelling
WSC '84 Proceedings of the 16th conference on Winter simulation
Simulation methods for Poisson processes in nonstationary systems
WSC '78 Proceedings of the 10th conference on Winter simulation - Volume 1
Simultaneous Simulation of Alternative System Configurations
PRDC '05 Proceedings of the 11th Pacific Rim International Symposium on Dependable Computing
QBD approximations of a call center queueing model with general patience distribution
Computers and Operations Research
Exploring design configurations of system models: from simultaneous simulation to search heuristics
Exploring design configurations of system models: from simultaneous simulation to search heuristics
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The real utility of simulation lies in comparing different design choices by evaluating models represented using a simulation framework. In an earlier paper, we presented the Simultaneous Simulation of Alternative System Configurations (SSASC) simulation algorithm, which provides a methodology to exploit the structural/stochastic similarity among the alternative design configurations in an efficient manner that evaluates multiple alternative configurations of a system design simultaneously. However, this technique was limited to Markovian models. In this paper, we propose G-SSASC, which expands the domain of system models that can be modeled and evaluated to those non-Markovian models that have distributions with bounded hazard rates. We also show that we obtain a speed-up of up to an order of magnitude for a case study model that evaluates the reliability of a storage system.