Abstract
This paper presents a modeling of a distributed simulation system with a data management scheme. The scheme focuses on a distributed simulation concept, which is load balancing, suggests distribution of a different functionality to each distributed component, and assigns various degrees of communication and computation loads in each component. In addition, this paper introduces a design with an inter-federation communication on HLA-compliant distributed simulation. The design focuses on integration among multiple federations and constructs the larger distributed simulation system by suggesting a HLA bridge connection. The integration supports system simulation flexibility and scalability. This paper discusses design issues of a practical system with a HLA bridge for inter-federation communication. This paper analyzes and evaluates performance and scalability of the data management scheme with load balancing on distributed simulation, especially with inter-federation and inside-federation communication configurations. The analytical and empirical results on a heterogeneous OS distributed simulation show improvement of system performance and scalability by using data management and inter-federation communication.
This work was supported (in part) by the Ministry of Information & Communications, Korea, under the Information Technology Research Center (ITRC) Support Program.
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, J.S. (2005). High Performance Modeling for Distributed Simulation. In: Kim, T.G. (eds) Artificial Intelligence and Simulation. AIS 2004. Lecture Notes in Computer Science(), vol 3397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30583-5_15
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DOI: https://doi.org/10.1007/978-3-540-30583-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24476-9
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