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DETECTION OF OUTLIER NODES IN A CLUSTER

机译:集群中异常点的检测

摘要

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.
机译:集群计算系统。一种用于检测和补救群集中降级节点的方法是从测量群集中节点的操作方面开始,然后基于测量值和其他因素确定一组可疑节点,这些可疑节点集包括来自群集中节点的一个或多个可疑节点。相对于确定为非离群值的其余节点而言,其测量值被确定为离群值的群集。在可疑集合上执行基于密度的空间聚类分析,并在基于密度的空间聚类分析的结果将可疑节点识别为降级节点时启动补救措施。

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