Evaluating communications system performance effects at a system of systems level

N. Miner, B. V. Leeuwen, K. Welch, M. Estill, Mark A Smith, H. Le, Craig R. Lawton
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引用次数: 4

Abstract

The complexity of net-centric system of systems (SoS) being fielded today has the military leadership increasingly dependent on modeling and simulation (M&S) tools for evaluating performance. Several types of M&S tools are required to model different aspects of military systems, yet these tools often have different computational fidelities in terms of time and scale. Current approaches using direct information transfer between M&S tools, such as High Level Architecture (HLA) and MATREX, do not provide the mechanisms for disparate tools to make direct use of each other's information [1], [2]. Thus, many military SoS analyses assume perfect communications, an unrealistic assumption that leaves a gap for conducting more comprehensive analyses for large-scale, net-centric SoS problems. This research addresses this gap by developing general purpose methodologies to bridge the gap between diverse M&S tools resulting in a capability that enables military decision makers to evaluate comms system performance effects at a SoS level [3]. This paper discusses the methodology, including parameter selection, data generation, surrogate modeling and SoS simulation results.
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在系统级的系统中评估通信系统的性能影响
当今部署的以网络为中心的系统系统(so)的复杂性使军事领导层越来越依赖于建模和仿真(M&S)工具来评估性能。需要几种类型的M&S工具来对军事系统的不同方面进行建模,然而这些工具在时间和规模方面通常具有不同的计算保真度。当前在M&S工具之间使用直接信息传输的方法,如高级体系结构(HLA)和MATREX,并没有为不同的工具提供直接使用彼此信息的机制[1],[2]。因此,许多军事SoS分析假设了完美的通信,这是一个不切实际的假设,为大规模、以网络为中心的SoS问题进行更全面的分析留下了空白。本研究通过开发通用方法来解决这一差距,以弥合各种M&S工具之间的差距,从而使军事决策者能够在SoS级别评估通信系统性能影响[3]。本文讨论了方法,包括参数选择、数据生成、代理建模和SoS仿真结果。
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