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首页> 外文会议>2003 International Symposium on Collaborative Technologies and Systems (CTS-2003); Jan 19-23, 2003; Orlando, Florida, USA >Integrating Behavioral Models with Detailed OPNET Network Models In a Distributed Framework
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Integrating Behavioral Models with Detailed OPNET Network Models In a Distributed Framework

机译：在分布式框架中将行为模型与详细的OPNET网络模型集成

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摘要

There is a growing need within the modeling and simulation community to integrate realistic network models into existing behavioral simulations. This is due to the increasing influence of communications and networks on overall system behavior. To support this integration, approaches for incorporating distributed, high fidelity communication toolsets are required. The OPNET toolset is perhaps the preeminent tool for network modeling. A simple approach has been developed to facilitate the integration of detailed OPNET models into distributed simulations. This approach focuses on the use of an Application Programming Interface (API), known as the Comm API, in combination with an OPNET model based event controller, known simply as the Controller. Together, these two elements provide a distributed interface between detailed OPNET network models and detailed behavioral models. This interface allows OPNET and other event-based simulations to dynamically execute in coordinated simulation time and exchange geospatial and network information during scenario execution. The Comm API and Controller were used as the basis in creating an Air Traffic Control scenario from detailed behavioral models. The test bed for the Comm API and Controller consisted of a 30-minute scenario with 3843 'Send Requests' from an external simulation to OPNET and 11977 'Receive Notifications' containing message performance statistics from OPNET to the external behavior models. The external simulation also generated 16200 entity state updates containing geospatial and control data for the mobile nodes. This scenario did not significantly slow the simulation when compared with an identical OPNET stand-alone scenario.
机译：在建模和仿真社区中，越来越需要将现实的网络模型集成到现有的行为仿真中。这是由于通信和网络对整体系统行为的影响越来越大。为了支持这种集成，需要采用一些方法来合并分布式，高保真度的通信工具集。 OPNET工具集也许是网络建模的杰出工具。已经开发出一种简单的方法来促进将详细的OPNET模型集成到分布式仿真中。此方法着重于将称为Comm API的应用程序编程接口（API）与基于OPNET模型的事件控制器（简称为Controller）结合使用。这两个元素一起提供了详细的OPNET网络模型和详细的行为模型之间的分布式接口。该接口允许OPNET和其他基于事件的仿真在协调的仿真时间内动态执行，并在方案执行期间交换地理空间和网络信息。 Comm API和Controller用作从详细行为模型创建空中交通管制场景的基础。 Comm API和Controller的测试台包括一个30分钟的场景，其中包含从外部模拟到OPNET的3843个“发送请求”和包含从OPNET到外部行为模型的消息性能统计信息的11977年“接收通知”。外部仿真还生成了16200个实体状态更新，其中包含移动节点的地理空间和控制数据。与相同的OPNET独立方案相比，该方案不会显着降低仿真速度。

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