Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Discrete event simulations and parallel processing: statistical properties
SIAM Journal on Scientific and Statistical Computing
A Hierarchical Computer Architecture for Distributed Simulation
IEEE Transactions on Computers
Importance sampling for stochastic simulations
Management Science
An efficient state space generation for analysis of real-time systems
ISSTA '96 Proceedings of the 1996 ACM SIGSOFT international symposium on Software testing and analysis
A gradient approach for smartly allocating computing budget for discrete event simulation
WSC '96 Proceedings of the 28th conference on Winter simulation
Discrete-event simulation on the World Wide Web using Java
WSC '96 Proceedings of the 28th conference on Winter simulation
Java-based query driven simulation environment
WSC '96 Proceedings of the 28th conference on Winter simulation
Proceedings of the 29th conference on Winter simulation
Bayesian analysis for simulation input and output
Proceedings of the 29th conference on Winter simulation
Java based conservative distributed simulation
Proceedings of the 29th conference on Winter simulation
Web-based simulation in Simjava using remote method invocation
Proceedings of the 29th conference on Winter simulation
Silk: a Java-based process simulation language
Proceedings of the 29th conference on Winter simulation
Why we don't know how to simulate the Internet
Proceedings of the 29th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations
Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations
WSC '04 Proceedings of the 36th conference on Winter simulation
Using parallel and distributed computing to increase the capability of selection procedures
WSC '05 Proceedings of the 37th conference on Winter simulation
A web-based platform for the simulation-optimization of industrial problems
Computers and Industrial Engineering
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Web technology is having a significant impact on computer simulation. Most of the effort in web-based simulation is aimed at modeling, particularly at building simulation languages and at creating model libraries that can be assembled and executed over the web. We focus on the efficiency of simulation experimentation for optimization. We introduce a framework for combining the statistical efficiency of simulation optimization techniques with the effectiveness of parallel execution algorithms. In particular, the Optimal Computing Budget Allocation (OCBA) algorithm is implemented in a web-based environment for low-cost parallel and distributed simulation experimentation. A prototype implementation with some experimental results is presented.