Patent Document ID: 9729401
Application ID: 14592877
Patent Flag: 1

Claim One:
1. A method for remediating poor-performing clients running in a distributed computer system, the method comprising: automatically detecting a poor-performing client among a plurality of clients running in the distributed computer using a machine learning technique based on performance data and resource usage data of the clients, including applying an outlier detection machine learning technique on the clients running in the distributed computer system to identify any outlier client among the clients with respect to the performance and resource usage data to identify the poor-performing client, wherein the applying the outlier detection machine learning technique includes executing a local outlier factor algorithm to compute an outlier factor for each of the clients by dividing an average local reachability density of neighbors of a client by the client's own local reachability density to determine whether each of the clients is an outlier or is not an outlier; and initiating an action to mitigate effects of the poor-performing client.