US 12,147,664 B2
Automated application detection and storage savings based on intelligent workload characterization
Nathanael Black, Raleigh, NC (US); Ashwin Palani, Apex, NC (US); and Jeffrey MacFarland, Wake Forest, NC (US)
Assigned to NETAPP, INC., San Jose, CA (US)
Filed by NetApp, Inc., San Jose, CA (US)
Filed on Dec. 23, 2022, as Appl. No. 18/146,230.
Prior Publication US 2024/0211129 A1, Jun. 27, 2024
Int. Cl. G06F 3/06 (2006.01); G06F 11/34 (2006.01)
CPC G06F 3/0604 (2013.01) [G06F 3/0631 (2013.01); G06F 3/0673 (2013.01); G06F 11/3409 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise:
a correlation component that, based on performance data for an application stored at a storage system, correlates a performance category with the application;
an evaluation component that predicts a type of the application or a use of the application based on the performance category, and
an execution component that, based on the performance category correlated to the application, and based on the type of the application or the use of the application, executes a modification at the storage system, wherein the modification at the storage system comprises changing a functioning of the storage system relative to the application.