Efficient commitment of events in distributed simulation

V. Bharghavan, C. Ramamoorthy
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Abstract

We have built a distributed discrete-event simulator called Empathy. This paper describes some aspects of the Empathy simulation algorithm. Optimistic simulation incurs enormous memory overhead. In this paper, we propose an algorithm for optimistic simulation that is based on the concept of local conservative control for commitment of events. This algorithm reduces the memory overhead by an average of 30% and reduces the aggregate computational time for simulation by up to 25%.<>
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分布式仿真中事件的高效提交
我们建立了一个分布式离散事件模拟器,叫做移情。本文介绍了移情模拟算法的一些方面。乐观模拟会导致巨大的内存开销。本文提出了一种基于事件承诺局部保守控制的乐观仿真算法。该算法平均减少了30%的内存开销,并将模拟的总计算时间减少了25%。
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