如何在分布式仿真中集成共享变量

Horst Mehl, Stefan Hammes
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引用次数: 15

摘要

尽管用户在编写分布式仿真应用程序时可能希望使用共享变量,但目前几乎没有现有的分布式仿真系统提供这种功能。在本文中,我们系统地提出了为分布式仿真应用提供一致共享变量的新算法。基本上,我们的方法结合了已知的技术来实现分布式共享内存和仿真算法。由于本质上有两类分布式仿真算法-保守和乐观-我们研究了这两种算法的共享变量算法,并提出了五种新算法。描述了原型实现的初始性能测量。使用共享变量可能导致的性能下降在很大程度上取决于模拟应用程序的访问行为。共享变量的抽象为用户提供了一个简单的概念,可以在存在固有全局数据的情况下设计分布式仿真应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How to integrate shared variables in distributed simulation
Although users may want to employ shared variables when they program distributed simulation applications, almost none of the currently existing distributed simulation systems does offer this facility. In this paper, we systematically present new algorithms which provide consistent shared variables for distributed simulation applications. Basically, our approach combines known techniques to realize distributed shared memory with simulation algorithms. As there are essentially two classes of distributed simulation algorithms---conservative and optimistic---we study shared variable algorithms for both of them and propose five new algorithms. Initial performance measurements of a prototype implementation are described. Potential performance degradation by the usage of shared variables is expected to depend to a high degree on the access behavior of the simulation application. Having the abstraction of shared variables available provides the user with a simple concept to design distributed simulation applications in the presence of inherent global data.
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