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Expanded Insert Algorithm in a B*Tree

机译:B *树中的扩展插入算法

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摘要

Tree data structure works great in representing computations unambiguously. In this study, the researchers enhanced the existing insert algorithm in B*Tree by introducing an expanded algorithm for inserting key values in B*Tree. This would further delay, if not reduce redistribution and frequency of splitting nodes in B*Tree. The idea of the expanded algorithm is to check for a cousin node within the same level that can accommodate a key value from its nearest sibling. A cascading effect is expected until the nearest sibling of the overflowing node can accommodate a key value with the premise that the nearest siblings of the overflowing node are full. Exploring the potential of this algorithm can really simplify a complex problem. The expanded insert algorithm would ensure that all leaf nodes in the B*Tree would be full and not just 2/3 full before a redistribution process is to be performed. Thus, reducing the nodes used in a B*Tree that would result to a far more favorable priori and posteriori estimates.
机译:树数据结构在明确表示计算方面非常有用。在这项研究中,研究人员通过引入用于在B * Tree中插入键值的扩展算法,增强了B * Tree中现有的插入算法。如果不减少B * Tree中节点的重新分布和频率,则这将进一步延迟。扩展算法的思想是在同一个级别内检查一个表兄弟节点,该表兄弟节点可以容纳来自其最近同级的键值。在溢出节点的最近兄弟姐妹已满的前提下,直到溢出节点的最近兄弟姐妹可以容纳键值之前,都可以期待级联效果。探索该算法的潜力可以真正简化一个复杂的问题。扩展的插入算法将确保B * Tree中的所有叶节点都将是满的,而不仅仅是要进行重新分配过程的2/3满。因此,减少在B * Tree中使用的节点将导致更有利的先验和后验估计。

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