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Optimal Self-adjusting Trees for Dynamic String Data in Secondary Storage

机译:用于辅助存储中的动态字符串数据的最佳自我调整树

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We present a self-adjusting layout scheme for suffix trees in secondary storage that provides optimal number of disk accesses for a sequence of string or substring queries. This has been an open problem since Sleator and Tarjan presented their splaying technique to create self-adjusting binary search trees in 1985. In addition to resolving this open problem, our scheme provides two additional advantages: 1) The partitions are slowly readjusted, requiring fewer disk accesses than splaying methods, and 2) the initial state of the layout is balanced, making it useful even when the sequence of queries is not highly skewed. Our method is also applicable to PATRICIA trees, and potentially to other data structures.
机译:我们为二级存储中的后缀树呈现了一个自调整布局方案,为一系列字符串或子字符查询提供最佳磁盘访问。这是一个开放的问题,因为Slator和Tarjan展示了他们的戏剧技术,在1985年展示了自我调整的二元搜索树。除了解决这个打开问题之外,我们的方案还提供了两个额外的优点:1)分区缓慢重新调整,需要更少磁盘访问比Splaying方法和2)布局的初始状态平衡,即使查询的序列不高度偏斜,也使其有用。我们的方法也适用于Patricia树,并且可能对其他数据结构提供。

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