US 11,917,031 B2
Message broker resource deletion
Parmeshwr Prasad, Bangalore (IN); and Rahul Deo Vishwakarma, Bangalore (IN)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jan. 21, 2022, as Appl. No. 17/581,369.
Prior Publication US 2023/0239370 A1, Jul. 27, 2023
Int. Cl. H04L 41/0604 (2022.01); H04L 67/60 (2022.01); H04L 67/562 (2022.01); H04L 67/51 (2022.01)
CPC H04L 67/562 (2022.05) [H04L 41/0622 (2013.01); H04L 67/51 (2022.05); H04L 67/60 (2022.05)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising:
monitoring communications of a message broker to collect resource parameter data of a resource of the message broker, wherein a behavior of the message broker is representative of a collective behavior of one or more microservices associated with the message broker;
obtaining, based on the resource parameter data of the resource of the message broker and historical data, a predicted message delivery time value;
determining whether the predicted message delivery time value satisfies a resource deletion criterion;
in response to determining that the predicted message delivery time value satisfies the resource deletion criterion, taking an action to delete the resource, wherein deletion of the resource is semi-automatic, resulting in the resource being deleted based on the resource not being utilized within a defined time interval; and
training a regression model used to obtain the predicted message delivery time value based on a number of incoming data points being determined to be equal to a number of the one or more microservices associated with the message broker, wherein a regression technique applied to obtain the predicted message delivery time value comprises symmetric conformal quantile regression.