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, unitl a certain number n of them have been collected, substantial savings can be obtained. Two 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.
|Title of host publication||Unknown Host Publication Title|
|Number of pages||7|
|Publication status||Published - 1 Jan 1988|
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