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Sub-block partitioning for hash-based deduplication

机译:子块分区,用于基于哈希的重复数据删除

摘要

Sub-block partitioning for hash-based deduplication is performed by defining a minimal size and maximum size of the sub-block. If one of a plurality of search criteria is satisfied by one of a plurality of hash values, declaring a position of the hash value as a boundary end position of the sub-block. If the maximum size of the sub-block is reached prior to satisfying one of the multiple search criteria, declaring a position of an alternative one of the hash values that is selected based upon another one of the multiple search criteria as the boundary end position of the sub-block. One of the plurality of search criteria is satisfied if n bits at predefined positions of a value calculated by applying an XOR operation on last calculated k hash values are equal to one of an mth predefined different patterns of bits.
机译:通过定义子块的最小大小和最大大小来执行基于散列的重复数据删除的子块分区。如果多个散列值之一满足多个搜索标准之一,则将散列值的位置声明为子块的边界结束位置。如果在满足多个搜索标准之一之前已达到子块的最大大小,则声明基于多个搜索标准中的另一个选择的哈希值之一的替代位置作为其边界结束位置子块。如果通过对最后计算的k个哈希值进行XOR运算而计算出的值的预定位置上的n个比特等于第m个预定的不同比特模式之一,则满足多个搜索标准之一。

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