ACM Transactions on Programming Languages and Systems (TOPLAS)
SPAA '89 Proceedings of the first annual ACM symposium on Parallel algorithms and architectures
Unsynchronized parallel discrete event simulation
Proceedings of the 30th conference on Winter simulation
Exploiting temporal uncertainty in parallel and distributed simulations
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
A generic multi-scale modeling framework for reactive observing systems: an overview
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Intelligent management of data driven simulations to support model building in the social sciences
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Towards dynamically adaptive weather analysis and forecasting in LEAD
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Towards a dynamic data driven application system for wildfire simulation
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Semi-automated simulation transformation for DDDAS
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Ad Hoc Distributed Simulation of Queueing Networks
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
Statistical issues in ad hoc distributed simulations
Proceedings of the Winter Simulation Conference
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An ad hoc distributed dynamic data-driven simulation is a collection of autonomous online simulations brought together to model an operational system. They offer the potential of increased accuracy, responsiveness, and robustness compared to centralized approaches. They differ from conventional distributed simulations in that they are created bottom-up rather than top-down. They combine concepts from conventional distributed simulations and replicated trials, raising new issues in data management and synchronization. In this article, the ad hoc simulation approach and an optimistic synchronization algorithm are proposed. A prototype coupling in-vehicle transportation simulation is evaluated and shown to yield results comparable to a traditional replicated experiment for the tested scenarios. Experiences applying this concept to a commercial transportation simulator in an emergency scenario are described.