Performance prediction tools for parallel discrete-event simulation
PADS '99 Proceedings of the thirteenth workshop on Parallel and distributed simulation
Networked virtual environments: design and implementation
Networked virtual environments: design and implementation
Practical genetic algorithms
An adaptive load balancing method for parallel molecular dynamics simulations
Journal of Computational Physics
An Efficient Partitioning Algorithm for Distributed Virtual Environment Systems
IEEE Transactions on Parallel and Distributed Systems
A Parallelism Analyzer Algorithm for a Conservative Super-Step Simulation Protocol
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Predicting the Performance of Synchronous Discrete Event Simulation
IEEE Transactions on Parallel and Distributed Systems
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Human behavior models for agents in simulators and games: part I: enabling science with PMFserv
Presence: Teleoperators and Virtual Environments
Human behavior models for agents in simulators and games: part II: gamebot engineering with PMFserv
Presence: Teleoperators and Virtual Environments
A Latency-Aware Partitioning Method for Distributed Virtual Environment Systems
IEEE Transactions on Parallel and Distributed Systems
Agent-based human behavior modeling for crowd simulation
Computer Animation and Virtual Worlds - CASA'2008 Special Issue
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Cluster based partitioning for agent-based crowd simulations
Winter Simulation Conference
Grid-based partitioning for large-scale distributed agent-based crowd simulation
Proceedings of the Winter Simulation Conference
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For an agent-based system that aims to simulate a large number of agents under different scenarios, a proper partitioning mechanism is an essential factor to the performance of the system. However, there is still an issue on selecting/developing an appropriate partitioning mechanism for a specific agent-based simulation system. One way is to implement distributed agent-based systems using multiple partitioning mechanisms and to compare their performance. However this is in general not feasible. In this paper, we propose a generic framework and a simple evaluation process to address the issue of selecting an appreciate partitioning mechanism by simulating the effect of the partitioning mechanism to predict its performance for an agent-based simulation system.