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US 11,641,212 B2Granted
Probabilistic model for file-specific compression selection under SLA-constraints
AssigneeEMC IP Holding Company LLC
InventorsRômulo Teixeira de Abreu Pinho, Vinicius Michel Gottin, Joel Christner
Life of this patent
Estimating the term…
Abstract
One example method includes file specific compression selection. Compression metrics are generated for a chunk of a file. Using a set of training data, the compression metrics are corrected using a correction factor to determine estimated file compression metrics. A compressor is then selected to compress the file based on at least the estimated file compression metrics.
Claims20
A method, comprising:
- receiving a file at a compression engine configured to select a compressor from among available compressors to compress the file;
- extracting a chunk from the file;
- compressing the chunk with compressors that are valid for a file type of the file;
- determining compression metrics for each of the valid compressors;
- determining a correction factor for each of the valid compressors;
- determining estimated file metrics for each of the valid compressors based on the compression metrics and the correction factors;
- and
- selecting an optimal compressor from the valid compressors based on the file metrics.
5 more elements
A non-transitory storage medium having stored therein instructions that are executable by one or more hardware processors to perform operations comprising:
- receiving a file at a compression engine configured to select a compressor from among available compressors to compress the file;
- extracting a chunk from the file;
- compressing the chunk with all compressors that are valid for a file type of the file;
- determining compression metrics for each of the valid compressors;
- determining a correction factor for each of the valid compressors;
- determining estimated file metrics for each of the valid compressors based on the compression metrics and the correction factors;
- and
- selecting an optimal compressor from the valid compressors based on the file metrics.
5 more elements
Dependencies are inferred from the claim text.