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- W1904332734 abstract "Installing an update in an indexed database of size N takes O(log N) disk accesses, because of a root-leaf path traversal. If the installing of updates is deferred for a while, until a certain number n of them have been collected, substantial savings can be obtained. Two efficient algorithms for performing such grouped updates are presented and analyzed. The conditions on n are derived for which these algorithms perform better than straightforward update installation. A technique called model scaling, which is borrowed from the domain of fluid mechanics, is used to show how small simulations can be used for the accurate modeling of real-life environments. Some experimental results are presented to validate the analysis as well as justify the assumptions made. >" @default.
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- W1904332734 date "2003-01-06" @default.
- W1904332734 modified "2023-09-22" @default.
- W1904332734 title "Efficient algorithms for maintenance of large database indexes" @default.
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- W1904332734 doi "https://doi.org/10.1109/icde.1988.105484" @default.
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