18210032. MULTI-DIMENSIONAL AUTO SCALING OF CONTAINER-BASED CLUSTERS (VMware, Inc.)
Contents
MULTI-DIMENSIONAL AUTO SCALING OF CONTAINER-BASED CLUSTERS
Organization Name
Inventor(s)
Dongni Wang of San Jose CA (US)
Aiswaryaa Venugopalan of San Jose CA (US)
Arnav Chakravarthy of San Francisco CA (US)
Marius Vilcu of Arlington MA (US)
Asmitha Rathis of Santa Clara CA (US)
Greg Burk of Colorado Springs CO (US)
MULTI-DIMENSIONAL AUTO SCALING OF CONTAINER-BASED CLUSTERS
This abstract first appeared for US patent application 18210032 titled 'MULTI-DIMENSIONAL AUTO SCALING OF CONTAINER-BASED CLUSTERS
Original Abstract Submitted
The disclosure provides a method for determining a target configuration for a container-based cluster. The method generally includes determining, by a virtualization management platform configured to manage components of the cluster, a current state of the cluster, determining, by the virtualization management platform, at least one of performance metrics or resource utilization metrics for the cluster based on the current state of the cluster, processing, with a model configured to generate candidate configurations recommended for the cluster, the current state and at least one of the performance metrics or the resource utilization metrics and thereby generate the candidate configurations, calculating a reward score for each of the candidate configurations, selecting the target configuration as a candidate configuration from the candidate configurations based on the reward score of the target configuration, and adjusting configuration settings for the cluster based on the target configuration to alter the current state of the cluster.
