Utilizing global digests caching in similarity based data deduplication

Utilizing global digests caching in similarity based data deduplication

Input data is partitioned into data chunks and digest values are calculated for each of the data chunks. The positions of similar repository data are found in a repository of data for each of the data chunks. The input digests of the input data are matched with the repository digests contained in th...

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Hauptverfasser: Akirav, Shay H, Aronovich, Lior
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Sprache:eng
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CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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creator Akirav, Shay H
Aronovich, Lior
description Input data is partitioned into data chunks and digest values are calculated for each of the data chunks. The positions of similar repository data are found in a repository of data for each of the data chunks. The input digests of the input data are matched with the repository digests contained in the global digests cache for locating data matches. The processor prefers to match the input digests of the input data with the repository digests contained in the global digests cache which are of the similar repository data, rather than repository digests which are of other repository data that was not determined as similar to the input data chunks. The positions of the similar repository data are used to locate and linearly load into the global digests cache, digests and digest block boundaries of the similar repository data.
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
title Utilizing global digests caching in similarity based data deduplication
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