Enhanced SDP-dynamic bloom filters for a DDS node discovery in real-time distributed systems

Williams-Paul Nwadiugwu, Joong-Hyuk Cha, Dong-Seong Kim
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引用次数: 2

Abstract

In this paper, an enhanced SDP-Dynamic bloom filters for a DDS node discovery scheme in real-time distributed systems is proposed. Since the previous works of the DDS focuses more on the usage of a Simple Discovery Protocol (SDP) for endpoint to endpoint information communication of industrialscale networks, attempts have now been made to enhance this approach into the Simple Discovery Protocol Dynamic Bloom Filters (SDP-Dynamic Bloom) focusing more on scalability in the amount of sent and stored message packets in the industrial network system. Simulation result show that the proposed scheme viciously reduces the overall computing and processing time of both stable and unstable industrial network environment which arises during the restructuring process of the existing SDP bloom filters approach.
用于实时分布式系统中DDS节点发现的增强sdp动态bloom过滤器
本文提出了一种用于实时分布式系统中DDS节点发现方案的增强型sdp -动态布隆滤波器。由于DDS之前的工作更多地关注于在工业规模网络的端点到端点信息通信中使用简单发现协议(SDP),现在已经尝试将这种方法增强为简单发现协议动态布隆过滤器(SDP-Dynamic Bloom),该方法更多地关注工业网络系统中发送和存储消息数据包的数量的可扩展性。仿真结果表明,该方案极大地减少了现有SDP布隆滤波器重构过程中产生的稳定和不稳定工业网络环境的总体计算和处理时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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