US 12,248,468 B2
Machine learned scheduling of data retrieval to avoid security restriction flagging
Dale L. Clark, Mukilteo, WA (US); Silviu Lupsa, Orange, CT (US); and Zachary Goldberg, Indianapolis, IN (US)
Filed by Tangoe US, Inc., Stamford, CT (US)
Filed on Oct. 31, 2023, as Appl. No. 18/498,695.
Application 18/498,695 is a continuation of application No. 17/863,301, filed on Jul. 12, 2022, granted, now 11,847,114.
Application 17/863,301 is a continuation of application No. 17/065,307, filed on Oct. 7, 2020, granted, now 11,416,483, issued on Aug. 16, 2022.
Prior Publication US 2024/0061836 A1, Feb. 22, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/30 (2006.01); G06F 16/2453 (2019.01); G06F 16/2455 (2019.01); G06F 21/44 (2013.01); G06F 21/62 (2013.01)
CPC G06F 16/2453 (2019.01) [G06F 16/24564 (2019.01); G06F 21/44 (2013.01); G06F 21/6227 (2013.01); G06F 21/629 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for automated adjustment of data collection intervals associated with regularly updated data comprising:
a computer with software executing thereon, said computer in communication with a data store computer over a network, the data store computer having access to data which is stored on the data store computer or on a storage accessible to the data store computer;
said software having access to expected update timing data indicative of when a next expected update to data is expected to occur;
said software querying the data store computer and receiving at least some updated data from the data store computer and said software determining that at least some updated data is not available;
said software, based on the expected update timing data, automatically re-querying the data store computer to retrieve the at least some updated data which was not available previously wherein the re-querying is done at a frequency based on a threshold not being exceeded and the threshold is adjusted based on at least one or more prior attempts to obtain updated data.