Abstract
At present, simulation experiment complexity is increasing dramatically due to the weapon system of system becoming more and more complex. Single machine simulation experiment has been unable to meet the project needs. As the development of computer and network technology, Advanced Distributed Simulation (ADS) has been widely used in high-tech and complex weapon systems’ experiment, argumentation and evaluation, which overcomes disadvantages of the single machine simulation. However, a large-scale integrated simulation experiment for weapon systems’ argumentation and design is a system engineering, which leads to explosive increase in simulation resources. As a result, the functional structure becomes more and more diverse, the interactive relationship becomes more and more complex and the operation control becomes more and more difficult. In order to be faster, more accurate and more convenient to complete the simulation experiment and evaluation, there is an urgent need to design and develop a macro control and management system for large-scale comprehensive simulation experiment to support its full life cycle control and management. In this paper, distributed simulation experiment control and management technology is studied under the background of the Joint Distributed Simulation Experiment Platform (JDSEP) project. This paper proposes and expounds the architecture of JDSEP, the framework of the macro management and control system and the simulation resources management tool respectively in accordance with the order from the whole to local, which provides a conceptual framework and theoretical guidance for the follow-up realization and implementation.
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Acknowledgments
We appreciate the support from National Natural Science Foundation of China (No. 61374185).
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© 2016 Springer Science+Business Media Singapore
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Wang, X., Li, G., Wang, P., Zhu, X. (2016). Research on Control and Management Technology of Joint Distributed Simulation Experiment Platform. In: Zhang, L., Song, X., Wu, Y. (eds) Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems. AsiaSim SCS AutumnSim 2016 2016. Communications in Computer and Information Science, vol 643. Springer, Singapore. https://doi.org/10.1007/978-981-10-2663-8_31
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DOI: https://doi.org/10.1007/978-981-10-2663-8_31
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