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SFB: a scalable method for handling range queries on Skip Graphs

机译:SFB:一种可伸缩的方法,用于处理跳过图上的范围查询

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Skip Graph is a promising candidate algorithm for large scale distributed systems. The principal feature is range query functionality, but Skip Graph does not have a definite method of multicasting inside ranges designated by query issuers. Even though several simple ways can be considered, they are inefficient regarding the latency or traffic volume. In this letter, we first introduce Multi-Range Forwarding (MRF) used in Multi-key Skip Graph. MRF can be used even in normal Skip Graph, and is efficient compared to the simple ways. Second, we propose a method named Split-Forward Broadcasting (SFB). We analytically evaluate SFB and explain that SFB can roughly halve the average number of hops of MRF.
机译:跳过图是用于大型分布式系统的有希望的候选算法。主要功能是范围查询功能,但是“跳过图”没有在查询发布者指定的范围内进行组播的确定方法。即使可以考虑几种简单的方法,但它们在等待时间或流量方面却效率低下。在这封信中,我们首先介绍在多键跳过图中使用的多范围转发(MRF)。 MRF甚至可以在正常的“跳过图”中使用,并且与简单方法相比,效率很高。其次,我们提出了一种名为拆分转发广播(SFB)的方法。我们通过分析评估SFB,并解释说SFB可以将MRF的平均跳数大致减半。

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