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An Alternative Time Management Mechanism for Distributed Simulations

机译:分布式仿真的替代时间管理机制

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Over the past few years, there has been a keen interest in the management of time in distributed simulation environments. Previous emphasis in time management (TM) services has been based on time stamp ordering, which is both computation and bandwidth intensive. This article discusses an alternative approach to time management based on causal ordering. Traditional causal ordering protocols incur a large amount of communication overhead, which is generally of the order of N~2 for a distributed system of N processes. A new causal ordering protocol proposed by the authors, the Modified Schiper-Eggli-Sandoz (MSES) protocol, is presented in this article. This new protocol minimizes the control information overhead of causal ordering by using the direct dependency tracking technique. The MSES protocol works well in both unicast and multicast environments, without relying on information about the underlying network topology and communication pattern among the processes of the distributed system. The MSES protocol has been successfully implemented as a middleware on top of DMSO RTI. Experiments have been conducted to benchmark the performance of the new time management mechanism with respect to the existing TM mechanisms available in DMSO RTI. The simulation scenarios of the experiments vary with different degrees of inter-federate dependency and federate event granularities. The ordering limitations of the causality based TM mechanism are addressed in this article and the trade-off of the degree of event ordering and execution speed of simulations is discussed.
机译:在过去的几年中,人们对分布式仿真环境中的时间管理产生了浓厚的兴趣。时间管理(TM)服务以前的重点是基于时间戳排序,时间戳排序既计算又占用带宽。本文讨论了基于因果排序的时间管理的替代方法。传统的因果排序协议会产生大量的通信开销,对于N个进程的分布式系统而言,通常约为N〜2。作者提出了一种新的因果排序协议,即修改后的Schiper-Eggli-Sandoz(MSES)协议。通过使用直接依赖跟踪技术,此新协议将因果排序的控制信息开销降至最低。 MSES协议在单播和多播环境中均能很好地工作,而不必依赖于有关分布式系统的进程之间的基础网络拓扑和通信模式的信息。 MSES协议已成功实现为DMSO RTI之上的中间件。相对于DMSO RTI中可用的现有TM机制,已经进行了一些实验来对新时间管理机制的性能进行基准测试。实验的模拟方案随联盟之间的依赖性和联盟事件粒度的不同程度而变化。本文讨论了基于因果关系的TM机制的排序限制,并讨论了事件排序程度和仿真执行速度之间的权衡。

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