DETECTION OF OUTLIER NODES IN A CLUSTER

Systems for cluster computing. A method for detection and remediation of degraded nodes in a cluster commences upon measuring operational aspects of the nodes in the cluster, then determining, based on the measurements and other factors, a suspect set of nodes comprising one or more suspect nodes from the nodes in the cluster that have measurements that are determined to be outliers with respect to remaining nodes that are determined not to be the outliers. A density-based spatial clustering analysis is performed over the suspect set and remediation actions are initiated when results of the density-based spatial clustering analysis identifies a suspect node as being a degraded node.