US 12,452,272 B1
Reducing resource consumption spikes in an anomaly detection framework
Sathish Kumar Subramanian, Cupertino, CA (US); Nandish Nanjappa, Fremont, CA (US); and Yijou Chen, Cupertino, CA (US)
Assigned to Fortinet, Inc., Sunnyvale, CA (US)
Filed by LACEWORK, INC., Mountain View, CA (US)
Filed on Jan. 30, 2023, as Appl. No. 18/161,709.
Application 18/161,709 is a continuation in part of application No. 17/504,311, filed on Oct. 18, 2021, granted, now 11,677,772.
Application 17/504,311 is a continuation of application No. 16/665,961, filed on Oct. 28, 2019, granted, now 11,153,339, issued on Oct. 19, 2021.
Application 16/665,961 is a continuation of application No. 16/134,794, filed on Sep. 18, 2018, granted, now 10,581,891, issued on Mar. 3, 2020.
Claims priority of provisional application 63/351,532, filed on Jun. 13, 2022.
Claims priority of provisional application 62/650,971, filed on Mar. 30, 2018.
Claims priority of provisional application 62/590,986, filed on Nov. 27, 2017.
Int. Cl. H04L 9/40 (2022.01); G06F 9/455 (2018.01); G06F 9/54 (2006.01); G06F 16/901 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06F 21/57 (2013.01); H04L 43/045 (2022.01); H04L 43/06 (2022.01); H04L 67/306 (2022.01); H04L 67/50 (2022.01); G06F 16/2455 (2019.01)
CPC H04L 63/1425 (2013.01) [G06F 9/455 (2013.01); G06F 9/545 (2013.01); G06F 16/9024 (2019.01); G06F 16/9038 (2019.01); G06F 16/9535 (2019.01); G06F 16/9537 (2019.01); G06F 21/57 (2013.01); H04L 43/045 (2013.01); H04L 43/06 (2013.01); H04L 63/10 (2013.01); H04L 67/306 (2013.01); H04L 67/535 (2022.05); G06F 16/2456 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method of reducing resource consumption spikes in an anomaly detection framework, the method comprising:
gathering, with a computing system having at least a hardware processor and a memory system coupled with the hardware processor, information describing historical job execution associated with a plurality of customers;
assigning, with the computing system and based on the information describing historical job execution, each of the plurality of customers to a particular grouping of a plurality of groupings, wherein each of the plurality of groupings corresponds to a particular time offset within a time interval;
scheduling, with the computing system and for each grouping of the plurality of groupings, at a time offset of a corresponding grouping, execution of one or more jobs associated with one or more customers of the corresponding grouping; and
executing, with the computing system, the one or more jobs associated with one or more customers of the corresponding grouping.