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A Causality Consistency Approach in Large-scale Asynchronous Distributed Virtual Environments

机译:大规模异步分布式虚拟环境中的因果一致性方法

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Since Distributed Virtual Environments (DVEs) aim to simulate the scenarios in the real world, it is required to consistently preserve the causality of event delivery with real-time property. at each node in a DVE. However, for the DVEs, especially those running on WAN and containing large-scale simulation nodes with asynchronous simulation clocks, maintaining causality of events in real time becomes a problem. In this article, a novel causality consistency approach is proposed to compare the asynchronous time values of different nodes, and keep the cause-effect relationship among received events by analyzing the causal control information recorded in the adjacency list. The experiment results show that the approach can preserve the causality of event delivery with small control overhead and consequently meet the real-time requirement of DVEs.
机译:由于分布式虚拟环境(DVE)旨在模拟现实世界中的场景,因此需要始终保持具有实时属性的事件传递的因果关系。在DVE中的每个节点上。但是,对于DVE,尤其是那些在WAN上运行并包含带有异步仿真时钟的大规模仿真节点的DVE,实时维护事件的因果关系成为一个问题。本文提出一种新颖的因果一致性方法,用于比较不同节点的异步时间值,并通过分析邻接表中记录的因果控制信息来保持接收事件之间的因果关系。实验结果表明,该方法能够以较小的控制开销保留事件传递的因果关系,从而满足DVE的实时性要求。

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