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PACKING DEDUPLICATED DATA INTO FINITE-SIZED CONTAINERS

机译:将重复数据删除的数据打包到有限的容器中

摘要

Deduplicated data is packed into finite-sized containers. A similarity score is calculated between files that are similarly of the deduplicated data. The similarity score is used for grouping the similarly compared files of the deduplicated data into subsets for destaging each of the subsets from a deduplication system to one a finite-sized container. The similarity score is used for grouping the similarly compared files of the deduplicated data into subsets for destaging each of the subsets from a deduplication system to one of the finite-sized containers. An indication is received by a user of which of the similarly compared files are to be grouped into the subsets for destaging each of the subsets from a deduplication system to one of the finite-sized containers. Transitive closures are used for assisting with using the similarity score for grouping the similarly compared files of the deduplicated data into the sub sets.
机译:重复数据消除后的数据打包到有限大小的容器中。计算与重复数据删除数据相似的文件之间的相似性得分。相似性分数用于将经过重复数据删除的数据的相似比较的文件分组为子集,以将每个子集从重复数据删除系统降级到一个有限大小的容器。相似性分数用于将经过重复数据删除的数据的相似比较的文件分组为子集,以将每个子集从重复数据删除系统降级到有限大小的容器之一。用户接收到指示,将哪个相似比较的文件分组到子集中,以将每个子集从重复数据删除系统降级到有限大小的容器之一。传递闭包用于协助使用相似性得分将重复数据删除后的数据的相似比较文件分组为子集。

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