US 11,675,737 B2
Anomaly-based retention policies for snapshot-based data protection systems
Amihai Savir, Sansana (IL); Avitan Gefen, Lehavim (IL); Kfir Wolfson, Beer Sheva (IL); and Itay Azaria, Dimona (IL)
Assigned to EMC IP HOLDING COMPANY LLC, Hopkinton, MA (US)
Filed by EMC IP Holding Company LLC, Hopkinton, MA (US)
Filed on Nov. 10, 2021, as Appl. No. 17/454,439.
Application 17/454,439 is a continuation of application No. 16/654,635, filed on Oct. 16, 2019, granted, now 11,249,944.
Prior Publication US 2022/0066987 A1, Mar. 3, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/00 (2019.01); G06F 16/11 (2019.01); G06N 7/00 (2023.01); G06N 20/00 (2019.01); G06F 16/178 (2019.01)
CPC G06F 16/125 (2019.01) [G06F 16/128 (2019.01); G06F 16/178 (2019.01); G06N 7/00 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
monitoring performance of a computing system element of a runtime environment, and monitoring comprises collecting performance information concerning the computing system element;
analyzing, using a machine learning model, the collected information;
using the machine learning model to detect, based on the analyzing of the collected information, an anomaly in the performance of the computing system element; and
in response to detection of the anomaly, automatically marking a snapshot of the computing system element, and the marking of the snapshot overrides a retention policy applicable to the snapshot.