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- W3174532075 abstract "Index structures were often used to optimise fetch operations to external storage devices (secondary memory). Nowadays, this also holds for increasingly large amounts of data residing in main-memory (primary memory). Within this scope, this work focuses on index structures that efficiently insert, query and delete valid-time data from very large datasets. This work performs a comparative study on the performance of the Interval B+ tree (IB+ tree) and the Improved Interval B+ tree (I2B+ tree): a variant that improves the time-efficiency of the deletion operation by reducing the number of traversed nodes to access siblings. We performed an extensive analysis of the performance of two operations: insertions and deletions, on both index structures, using multiple datasets with growing volumes of data, distinct temporal distributions and tree parameters (time-split alpha and node order). Results confirm that the I2B+ tree globally outperforms the IB+ tree, since, on average, deletion operations are 7% faster, despite insertions requiring 2% more time. Furthermore, results also allowed to determine the key factors that augment the performance difference on deletions between both trees." @default.
- W3174532075 created "2021-07-05" @default.
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- W3174532075 date "2021-06-23" @default.
- W3174532075 modified "2023-09-27" @default.
- W3174532075 title "A Comparative Study on the Performance of the IB+ <i>Tree</i> and the I2B+ <i>Tree</i>" @default.
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- W3174532075 doi "https://doi.org/10.29333/iejme/11006" @default.
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