The quark and the jaguar: adventures in the simple and the complex
The quark and the jaguar: adventures in the simple and the complex
Simulation should be easy and fun!
WSC '93 Proceedings of the 25th conference on Winter simulation
Simulation system for real-time planning, scheduling, and control
WSC '96 Proceedings of the 28th conference on Winter simulation
Distributed supply chain simulation in GRIDS
Proceedings of the 32nd conference on Winter simulation
On simulation model complexity
Proceedings of the 32nd conference on Winter simulation
Computer Simulation in Management Science
Computer Simulation in Management Science
Silk and Taylor ED: open-source SML and silk for Java-based, object-oriented simulation
Proceedings of the 33nd conference on Winter simulation
Implementation of a Collaborative Web-Based Simulation Modeling Environment
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Statistical Methodology for WEB-Based Simulation
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Executing a Minimum Number of Replications to Support the Reliability of FRTS Predictions
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Simulation in the supply chain context: a survey
Computers in Industry
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
Simulation optimization: simulation-based optimization
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Web-based simulation 1: D-SOL; a distributed Java based discrete event simulation architecture
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Choosing the best model: Level of detail, complexity, and model performance
Mathematical and Computer Modelling: An International Journal
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th conference on Winter simulation
Distributed simulation in industry - a real-world necessity or ivory tower fancy?: panel
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Towards a COTS-based service-oriented simulation architecture
Proceedings of the 2007 Summer Computer Simulation Conference
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Commercial-off-the-shelf simulation package interoperability: issues and futures
Winter Simulation Conference
Simulation-based study of hematology outpatient clinics with focus on model reusability
Proceedings of the Winter Simulation Conference
Grid services for commercial simulation packages
Proceedings of the Winter Simulation Conference
Hi-index | 0.00 |
The possibilities of distributed simulation have been discussed for well over a decade, yet there is only limited evidence of its implementation, particularly within industry. The reasons for this are discussed by identifying the potential applications of distributed simulation and linking these to the ways in which simulation is practiced. The extent to which distributed simulation is a demand led or technology led innovation is discussed. A possible contradiction between distributed simulation and good modeling practice is also identified, that is, the ability to develop large/complex models against the recommendation to develop simple models. This leads to three conclusions: not everyone needs distributed simulation, distributed simulation is both demand and technology led, and the possibilities of distributed simulation are both beneficial and dangerous to modeling practice.