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Fault-tolerant query processing in structured P2P-systems

机译:结构化P2P系统中的容错查询处理

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摘要

Recently, a number of query processors has been proposed for the evaluation of relational queries in structured P2P systems. However, as these approaches do not consider peer or link failures, they cannot be deployed without extensions for real-world applications. We show that typical failures in structured P2P systems can have an unpredictable impact on the correctness of the result. In particular state-ful operators that store intermediate results on peers, e.g., the distributed hash join, must protect such results against failures. Although many replication schemes for P2P systems exist, they cannot replicate operator states while the query is processed. In this paper we propose an in-query replication scheme which replicates the state of an operator among the neighbors of the processing peer. Our analytical evaluation shows that the network overhead of the in-query replication is in 0(1) regarding network size, i.e., our scheme is scalable. We have carried out an extensive experimental evaluation using simulations as well as a PlanetLab deployment. It confirms the effectiveness and the efficiency of the in-query replication scheme and shows the effectiveness of the routing extension in networks of varying reliability.
机译:最近,已经提出了许多查询处理器,用于评估结构化P2P系统中的关系查询。但是,由于这些方法没有考虑对等或链接故障,因此如果没有扩展适用于实际应用程序,就无法部署它们。我们表明,结构化P2P系统中的典型故障会对结果的正确性产生不可预测的影响。特别地,将中间结果存储在对等点(例如,分布式哈希联接)上的有状态运算符必须保护这种结果以防失败。尽管存在许多P2P系统的复制方案,但是它们无法在处理查询时复制操作员状态。在本文中,我们提出了一种查询中复制方案,该方案在处理对等体的邻居之间复制运算符的状态。我们的分析评估表明,关于网络规模,查询中复制的网络开销为0(1),即我们的方案是可扩展的。我们已经使用模拟以及PlanetLab部署进行了广泛的实验评估。它确认了查询中复制方案的有效性和效率,并显示了在可靠性各不相同的网络中路由扩展的有效性。

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