Method of reducing redundancy between two or more datasets
a dataset and redundancy reduction technology, applied in the field of system and method for storing data, can solve the problems of limiting the number of backups the user maintains, consuming a great deal of disk space, and modern disk drives also have undesirable properties, so as to achieve lower deduplication efficiency, high deduplication efficiency, and high deduplication performance
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XXXVI. Example Cases
XXXVI. (1) Worst Case
[0548]As those familiar with the art of compression know, no compression technique is guaranteed to produce compression. Indeed, under worst-case conditions, every compression technique is guaranteed to produce output that is larger than its inputs.
[0549]Our Method is no exception and it is useful to understand this Method's limitations.
[0550]The amount of compression that one is likely to get from our Method is, on average, dependent on the size of the DDS; the larger the DDS the more likely it is that our Method will be able to detect and eliminate common data redundancy.
[0551]Consider a DDS with zero entries. The Method will proceed, roughly, as follows:
[0552]A pointless “Reference File Analysis Phase” would be done to build a non-existent DDS. As usual, the Reference File would be physically and / or logically copied to the Extended Reference File while digests are inserted into the DDS. Since the DDS has, by our example, no entries then th...
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