ACM Transactions on Programming Languages and Systems (TOPLAS)
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Computing in Science and Engineering
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
GridStix: Supporting Flood Prediction using Embedded Hardware and Next Generation Grid Middleware
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Wireless Sensor Networks: Technology, Protocols, and Applications
Wireless Sensor Networks: Technology, Protocols, and Applications
Ad Hoc Distributed Simulations
Proceedings of the 21st International Workshop on Principles of Advanced and Distributed Simulation
Collaborative in-network processing for target tracking
EURASIP Journal on Applied Signal Processing
Using On-line Simulation for Adaptive Path Planning of UAVs
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Large-scale network parameter configuration using an on-line simulation framework
IEEE/ACM Transactions on Networking (TON)
Symbiotic Simulation Model Validation for Radiation Detection Applications
PADS '09 Proceedings of the 2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation
Ad Hoc Distributed Simulation of Queueing Networks
PADS '10 Proceedings of the 2010 IEEE Workshop on Principles of Advanced and Distributed Simulation
On the Accuracy of Ad Hoc Distributed Simulations for Open Queueing Network
PADS '11 Proceedings of the 2011 IEEE Workshop on Principles of Advanced and Distributed Simulation
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Ad hoc distributed simulation is an approach to predicting future states of operational systems. It is based on embedding online simulations into a sensor network and adding communication and synchronization among the simulators. While prior work focused on this approach in the context of online management of transportation systems, this paper describes a generalization of the methodology and shows how it can be applied to embedded simulations of systems that can be modeled as open networks of queues. An implementation of an ad hoc queueing network simulation is described. The flows of units across links connecting nodes in different simulators are approximated by renewal processes whose parameters are updated dynamically. The synchronization mechanism uses random sampling to update flow rates across the ad hoc components. Preliminary results show that the ad hoc queueing network simulation can provide predictions comparable to sequential simulations.