US 12,461,652 B2
System and method for machine learning-based data archiving in storage systems
Shaul Dar, Petach Tikva (IL); Ramakanth Kanagovi, Bengaluru (IN); Guhesh Swaminathan, Tamil Nadu (IN); and Rajan Kumar, Nawada (IN)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jul. 18, 2023, as Appl. No. 18/354,007.
Prior Publication US 2025/0028444 A1, Jan. 23, 2025
Int. Cl. G06F 3/06 (2006.01)
CPC G06F 3/061 (2013.01) [G06F 3/0647 (2013.01); G06F 3/067 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, executed on a computing device, comprising:
processing a plurality of historical input/output (IO) requests associated with a plurality of storage objects of a storage system from a plurality of time intervals;
dividing the plurality of storage objects into a plurality of storage activity classes using a classification-based machine learning model and the plurality of historical IO requests; and
forecasting a next access time range for each storage object based upon, at least in part, the plurality of storage activity classes.