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An Efficient Adaptive Transmission Control Scheme for Large-Scale Distributed Simulation Systems

机译：大型分布式仿真系统的高效自适应传输控制方案

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Data distribution management (DDM) is one of the most critical component of any large-scale interactive distributed simulation systems. The aim of DDM is to reduce and control the volume of information exchanged among the simulated entities (federates) in a large-scale distributed simulation system. In order to fulfill its goal, a considerable amount of DDM messages needs to be exchanged within the simulation (federation). The question of whether each message should be sent immediately after it is generated or held until it can be grouped with other DDM messages needs to be investigated further. Our experimental results have shown that the total DDM time of a simulation varies considerably depending on which transmission strategy is used. Moreover, in the case of grouping, the DDM time depends on the size of the group. In this paper, we propose a novel DDM approach, which we refer to as Adaptive Grid-based (AGB) DDM. The AGB protocol is distinct from all existing DDM implementations, because it is able to predict the average amount of data generated in each time step of a simulation. Therefore, the AGB DDM approach controls a simulation running in the most appropriate mode to achieve a desired performance. This new DDM approach consists of two adaptive control parts: 1) the Adaptive Resource Allocation Control (ARAC) scheme and 2) the Adaptive Transmission Control (ATC) scheme. The focus of this paper is on the ATC scheme. We describe how to build a switching model to predict the average amount of DDM messages generated and how the ATC scheme uses this estimation result to optimize the overall DDM time. Our experimental results provide a clear evidence that the ATC scheme is able to achieve the best performance in DDM time when compared to all existing DDM protocols using an extensive set of experimental case studies.
机译：数据分发管理（DDM）是所有大型交互式分布式仿真系统中最关键的组件之一。 DDM的目的是减少和控制大型分布式仿真系统中的仿真实体（联邦）之间交换的信息量。为了实现其目标，需要在模拟（联盟）中交换大量DDM消息。是否应在生成或保留每个消息后立即发送该消息，直到可以将其与其他DDM消息分组，才需要进一步研究。我们的实验结果表明，模拟的总DDM时间会因使用哪种传输策略而有很大差异。此外，在分组的情况下，DDM时间取决于组的大小。在本文中，我们提出了一种新颖的DDM方法，我们将其称为基于自适应网格（AGB）的DDM。 AGB协议​​不同于所有现有的DDM实现，因为它能够预测在模拟的每个时间步中生成的平均数据量。因此，AGB DDM方法控制以最合适的模式运行的仿真，以实现所需的性能。这种新的DDM方法由两个自适应控制部分组成：1）自适应资源分配控制（ARAC）方案和2）自适应传输控制（ATC）方案。本文的重点是ATC方案。我们描述了如何建立一个交换模型来预测生成的DDM消息的平均数量，以及ATC计划如何使用此估计结果来优化总体DDM时间。我们的实验结果提供了明确的证据，与使用大量实验案例研究的所有现有DDM协议相比，ATC方案能够在DDM时间内达到最佳性能。

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