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Node discovery scheme of DDS for combat management system

机译:作战管理系统DDS的节点发现方案

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摘要

In this paper, a novel discovery scheme using modified counting Bloom filters is proposed for data distribution service (DDS) for real-time distributed system. In a large scale network for combat management system (CMS), a lot of memory is required to store all the information. In addition, high network traffic can become problematic. In many cases, most of the information stored is not needed by the DDS's endpoints but occupy memory storage. To reduce the size of information sent and stored, a discovery process combined with counting Bloom filters is proposed. This paper presents delay time for filters construction and total discovery time needed in DDS's discovery process. Simulation results show that the proposed method gives low delay time and zero false positive probability.
机译:本文针对实时分布式系统的数据分发服务(DDS),提出了一种使用改进的计数布隆过滤器的新发现方案。在用于战斗管理系统(CMS)的大型网络中,需要大量内存来存储所有信息。另外,高网络流量可能会成为问题。在许多情况下,DDS的端点不需要存储的大多数信息,而是占用内存存储空间。为了减小发送和存储的信息的大小,提出了一种结合计数布隆过滤器的发现过程。本文介绍了过滤器构建的延迟时间以及DDS发现过程所需的总发现时间。仿真结果表明,该方法延迟时间短,误报概率为零。

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