COGNITIVE PREDICTION OF PROBLEMATIC SERVERS IN UNKNOWN SERVER GROUP

摘要

A set of profile parameters to characterize an unknown group of servers is computed. A set of known groups of servers is selected from a historical repository of known group of servers. A subset of known group is selected such that each known group in the subset has a corresponding similarity distance that is within a threshold similarity distance from the unknown group. A decision tree is constructed corresponding to a known group in the subset, by cognitively analyzing a usage of the set of profile parameters of the unknown group in the known group. Using the decision tree a number of problematic servers is predicted in the unknown group. When the predicted number of problematic servers does not exceed a threshold number, a post-prediction action is caused to occur on the unknown group, which causes a reduction in an actual number of problematic servers in the unknown group.