Showing papers by "Frank B. Schmuck published in 2015"

Policy-based, multi-scheme data reduction for computer memory

Abstract: Embodiments relate to policy-based, multi-scheme data reduction for a computer memory. An aspect includes receiving a plurality of policy rules by a policy engine of the computer memory, wherein a first policy rule specifies applying a first data reduction scheme to data in the computer memory based on the data matching first characteristics, wherein a second policy rule specifies applying a second data reduction scheme to data in the computer memory based on the data matching second characteristics, wherein the first data reduction scheme is different from the second data reduction scheme. Another aspect includes determining, by the policy engine, that first data in the computer memory matches the first characteristics, and that second data in the computer memory matches the second characteristics. Yet another aspect includes applying the first data reduction scheme to the first data, and applying the second data reduction scheme to the second data.

Compressed data layout with variable group size

Abstract: The embodiments described herein relate to managing compressed data to optimize file compression. A compression is performed on a first set of data to create a first set of compressed data partitions in a compression group. A partition table is constructed, and partition entries for the first data block are added to the table in conjunction with the first set. A current size of the compression group is assessed. In response to a compression ratio being greater than a target compression ratio and internal fragmentation of the compression group being smaller than a threshold, the compression group is dynamically completed. The dynamic completion decides a size for the compression group. The partition table is added to the compression group by assigning space within the first compression group for the table. The compression group is written to persistent storage.

Early compression related processing with offline compression

Abstract: A method for early compression related processing in a file system with offline compression. The method includes receiving a data file in a buffer. A processor detects that at least a portion of a data block of the data file resides in the buffer. A compressibility indication of the data block is determined based on performing at least one compressibility analysis operation on the data block. The compressibility indication of the data block is stored. A background compression task is performed on the data block based on: determining a compression decision for the data block based on the compressibility indication, and compressing the data block based on the compression decision.