US 12,332,761 B1
Metric management in multi-computing cluster environment
Seep Goel, Bengaluru (IN); Kavya Govindarajan, Chennai (IN); Chander Govindarajan, Chennai (IN); Priyanka Prakash Naik, Mumbai (IN); Praveen Jayachandran, Bangalore (IN); and Aishwariya Chakraborty, Bankura (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Feb. 20, 2024, as Appl. No. 18/582,114.
Int. Cl. G06F 11/34 (2006.01); H04L 67/10 (2022.01)
CPC G06F 11/3409 (2013.01) [H04L 67/10 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
obtaining a set of metrics collected from one or more computing clusters of a distributed computing environment, wherein the set of metrics are associated with one or more processes that are executable on the one or more computing clusters;
computing one or more metric importance values for the set of metrics based on one or more processing criteria; and
sending the one or more metric importance values to at least one computing cluster of the one or more computing clusters to enable the at least one computing cluster to adapt a collection frequency of at least one metric of the set of metrics;
wherein the collection frequency of the at least one metric of the set of metrics accounts for a total frequency of obtaining a set of important metrics collected from the one or more computing clusters of the distributed computing environment, and is proportional to the one or more metric importance values for the set of metrics; and
wherein the computer-implemented method is performed by a processing platform when executing program code, the processing platform comprising one or more processing devices, each of the one or more processing devices comprising a processor coupled to a memory.