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Enhanced DR-Tree for Low Latency Filtering in Publish/Subscribe Systems

机译:增强的DR树,用于发布/订阅系统中的低延迟过滤

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Distributed R-tree overlays emerged as an alternative for efficiently implementing DHT-free publish/subscribe communication primitives. Overlays using R-tree index structures offer logarithmic delivery garantis, guarantee zero false negatives and considerably reduce the number of false positives. In this paper we extend the distributed R-trees (DR-trees) in order to reduce event delivery latency. Our optimizations target both the structural organization of the DR-Trees and the publication policies. The contribution of the current work steams in an extensive evaluation of the novel structure along four parameters: latency, load, scalability and the rate of false positives. The enhanced structure performs better than the traditional distributed R-tree in terms of delivery latency. Additionally, it does not alter the performances related to the scalability, nor the load balancing of the tree, and neither the rate of false positives and negatives filtered by a node.
机译:分布式R-tree覆盖作为有效实现无DHT的发布/订阅通信原语的替代方法而出现。使用R树索引结构的叠加提供对数传递garantis,确保零假阴性,并大大减少了假阳性的数量。在本文中,我们扩展了分布式R树(DR树),以减少事件传递延迟。我们的优化既针对DR树的结构组织,又针对发布策略。当前工作的贡献围绕以下四个参数对新颖结构进行了广泛评估:潜伏期,负载,可伸缩性和误报率。就交付延迟而言,增强的结构比传统的分布式R树表现更好。此外,它不会更改与可伸缩性相关的性能,也不会更改树的负载平衡,也不会更改节点过滤的误报率和误报率。

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