A Simplified Belonging Tree for Optimizing Information Transmission on Large-Scale Distributed Simulations

Chen Liu, Jihong Cai, Kai Yang, Duzheng Qing, Mingwen Chen
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Abstract

The distributed simulation is popular in both commercial and academic M&S. One of the main challenges faced by large-scale use is a speedy information transmission(IT) technology, where traditional ones such as unicast, broadcast and mul-ticast may not suitable for large scale applications because of the lack of transmission control. In this paper, we present a content based IT technology via a simplified belonging tree(BT). It uses attributes-value pairs and a set of predicates to formally denote information and consumer's interests. So it can transmit information based on its content rather than its destination address, which provides a fine-granularity transmission control. Based on insights of belonging relation-ships among consumer's interests, a simplified BT is proposed to preserve relationships and optimize IT. Experiments show that by contrast with the compared method, our method significantly reduces the time cost for maintaining BT and can always perform on a high level while the application scale grows.
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一种用于大规模分布式仿真信息传输优化的简化归属树
分布式仿真在商业和学术M&S中都很流行。大规模使用面临的主要挑战之一是快速信息传输(IT)技术,其中传统的单播、广播和多播由于缺乏传输控制而可能不适合大规模应用。本文通过简化的归属树(BT)提出了一种基于内容的IT技术。它使用属性值对和一组谓词来正式表示信息和消费者的兴趣。因此,它可以根据信息的内容而不是目的地址传输信息,从而提供了细粒度的传输控制。在洞察消费者利益归属关系的基础上,提出了一种简化的BT,以保持关系并优化IT。实验表明,与对比方法相比,我们的方法显著降低了维护BT的时间成本,并且在应用规模扩大的情况下始终保持较高的性能。
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