Distributed interactive simulation: its past, present, and future
WSC '96 Proceedings of the 28th conference on Winter simulation
The Department of Defense High Level Architecture
Proceedings of the 29th conference on Winter simulation
Hierarchical federations: an architecture for information hiding
Proceedings of the fifteenth workshop on Parallel and distributed simulation
Parallel and Distribution Simulation Systems
Parallel and Distribution Simulation Systems
Employing hierarchical federation communities in the virtual ship architecture
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
Parallel simulation: parallel and distributed simulation systems
Proceedings of the 33nd conference on Winter simulation
Design of High Performance RTI Software
DS-RT '00 Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications
Automatic Construction of Hierarchical Federations Architecture
DS-RT '02 Proceedings of the Sixth IEEE International Workshop on Distributed Simulation and Real-Time Applications
Distributed Simulation: A Case Study in Design and Verification of Distributed Programs
IEEE Transactions on Software Engineering
DS-RT '09 Proceedings of the 2009 13th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications
Proposal of high level architecture extension
AIS'04 Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems
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Time Management (TM) is an integral part of the parallel and distributed systems that maintains the temporal order of events in a system. In this paper, we present a decentralised TM approach using a constrained communication model based on the inherent properties of virtual worlds. The proposed method uses a flat communication model and a region synchronises itself with a set of regions that share boundaries with it. It is evaluated with the help of a simple simulation model and compared with non-synchronised and decentralised scenarios. The simulation results show that it maintains local causality constraint and reduces communication of messages over the network. It is potentially more scalable and minimises longer delays and complexity compared with hierarchical strategies with multiple levels.