US 11,704,278 B2
Intelligent management of stub files in hierarchical storage
Christof Schmitt, Tucson, AZ (US); Jeffrey Michale Ceason, Holmen, WI (US); Erik Rueger, Ockenheim (DE); and Nicolo Sgobba, Fasano (IT)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 4, 2020, as Appl. No. 17/111,808.
Prior Publication US 2022/0179824 A1, Jun. 9, 2022
Int. Cl. G06F 16/00 (2019.01); G06F 16/11 (2019.01); G06N 20/00 (2019.01); G06F 11/34 (2006.01); G06F 11/30 (2006.01); G06F 16/16 (2019.01)
CPC G06F 16/113 (2019.01) [G06F 11/302 (2013.01); G06F 11/3495 (2013.01); G06F 16/162 (2019.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
in response to identifying a file to migrate from a file system to offline storage, providing metadata for the file to a machine learning engine;
receiving a stub profile for the file from the machine learning engine, wherein the stub profile indicates a portion of the file to migrate to the offline storage, an offset from a beginning of the file, and a length from the offset for previewing the file, wherein the offset from the beginning of the file and the length from the offset for previewing the file are based on:
a file type for the file, and
an expected read request length for the file determined by the machine learning engine; and
migrating the portion of the file from the file system to an offline storage based on the stub profile.