Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Convergence properties of infinitesimal perturbation analysis
Management Science
Importance sampling for stochastic simulations
Management Science
Parallel discrete event simulation
WSC '89 Proceedings of the 21st conference on Winter simulation
Parallel discrete event simulation
Communications of the ACM - Special issue on simulation
A provably correct, non-deadlocking parallel event simulation algorithm
ANSS '91 Proceedings of the 24th annual symposium on Simulation
Parallel discrete event simulation on shared-memory multiprocessors
ANSS '91 Proceedings of the 24th annual symposium on Simulation
Likelilood ratio gradient estimation: an overview
WSC '87 Proceedings of the 19th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
| Hi-index | 0.00 |
This paper proposes a new approach for interpolation in order to obtain an efficient algorithm which will help to reduce the time and computational efforts for estimating system performance at multiple settings from a simulation run at only two or more parameter settings. The algorithm properties and the validity of the estimates were examined by applying it to a multi-component reliability model with a known analytic solution. When implementation of this algorithm becomes operational under a true multi-tasking system, it will provide helpful insights for realization of similar software on parallel computer systems.