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COMPUTING NODE FAILURE AND HEALTH PREDICTION FOR CLOUD-BASED DATA CENTER
COMPUTING NODE FAILURE AND HEALTH PREDICTION FOR CLOUD-BASED DATA CENTER
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机译:基于云的数据中心计算节点故障与健康预测
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摘要
A system may include a node historical state data store having historical node state data, including a metric that represents a health status or an attribute of a node during a period of time prior to a node failure. A node failure prediction algorithm creation platform may generate a machine learning trained node failure prediction algorithm. An active node data store may contain information about computing nodes in a cloud computing environment, including, for each node, a metric that represents a health status or an attribute of that node over time. A virtual machine assignment platform may then execute the node failure prediction algorithm to calculate a node failure probability score for each computing node based on the information in the active node data store. As a result, a virtual machine may be assigned to a selected computing node based at least in part on node failure probability scores.
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