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I/O-Optimal Node Ordering Schemes for Set-Based Navigations in Trees

机译:树中基于集合的导航的I / O最佳节点排序方案

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摘要

There are many applications in which users interactivelyaccess large tree data by repeating set-based navigations,i.e., by repeatedly selecting one (or several) node,retrieving a set of nodes connected to it, and again selectingone (or several) node among them. In this paper, we focus onthe eight most fundamental operations in set-based navigation,which include neighbor/reachable, label-specific/wildcard, andforward/backward navigations. For efficient processing of theseoperations for large data stored on a disk, we need a storagescheme that clusters nodes that are accessed together by thoseoperations. In this paper, (1) we show no storage scheme can beI/O-optimal for all these operations, (2) we show several nodeordering schemes, each of which is I/O-optimal for some subsetof them, (3) we show that one of the schemes can process all theforward operations with sequential access to a constant-boundednumber of regions on the disk without accessing irrelevant nodes,and (4) backward operations can be efficiently processed onthat scheme by using a standard cache technique. We alsoshow that our storage scheme is compatible with several knowntechniques, such as, those for updates, that are important inpractical applications. Finally, we give experimental results withsynthesized and real data that confirm our theoretical results.
机译:在许多应用中,用户通过重复基于集合的导航,即通过重复选择一个(或几个)节点,检索与之连接的一组节点,然后再从中选择一个(或几个)节点,来交互式地访问大树数据。在本文中,我们重点介绍基于集合的导航中的八个最基本的操作,包括邻居/可到达,特定于标签的/通配符以及向前/向后导航。为了对存储在磁盘上的大数据有效地处理这些操作,我们需要一个存储方案,将这些操作一起访问的节点聚在一起。在本文中,(1)我们没有显示所有这些操作都无法实现I / O最优的存储方案,(2)我们展示了几种节点排序方案,其中每种对它们的某些子集都是I / O最优的,(3)我们表明一种方案可以通过顺序访问磁盘上一定数量的区域而无需访问无关节点来处理所有前向操作,并且(4)通过使用标准缓存技术可以对该方案进行有效的后向操作。我们还显示了我们的存储方案与几种重要的实用应用程序兼容的技术,例如用于更新的技术。最后,我们给出具有综合和真实数据的实验结果,证实了我们的理论结果。

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