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The explosive growth of data brings new challenges to the data storage and management in cloud environment.
These data usually have to be processed in a timely fashion in the cloud. Thus any increased latency may cause a massive loss to the enterprises.
Similarity detection plays a very important role in data management.
Many typical algorithms such as Shingle, Smash, Traits and Traditional
Sampling Algorithm (TSA) are extensively used.
The Shingle, Smash and Traits algorithms read entire source file to calculate the corresponding similarity characteristic value, thus requiring lots of CPU cycles and memory space and incurring tremendous.
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