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BEHAVIORAL MODELING OF A DATA CENTER UTILIZING HUMAN KNOWLEDGE TO ENHANCE A MACHINE LEARNING ALGORITHM
BEHAVIORAL MODELING OF A DATA CENTER UTILIZING HUMAN KNOWLEDGE TO ENHANCE A MACHINE LEARNING ALGORITHM
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机译:利用人的知识来增强机器学习算法的数据中心行为建模
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摘要
A method generates a behavioral model of a data center when a machine learning algorithm is applied. A team of human modelers that partition the data center into a plurality of connected nodes is analyzed by a behavioral model. The behavioral model of the data center detects an anomaly in a system behavior center by recursively applying the behavioral model to each node and simple component. A compressed metric vector for the node is generated by reducing a dimension of an input metric vector. A root cause of a failure caused is determined by the anomaly and an action is automatically recommended to an operator to resolve a problem caused by the failure. The proactively actions are taken to keep the data center in a normal state based on the behavioral model using the machine learning algorithm.
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