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Method of predicting an impact on a storage system of implementing a planning action on the storage system based on modeling confidence and reliability of a model of a storage system to predict the impact of implementing the planning action on the storage system

机译:基于对存储系统的模型的置信度和可靠性进行建模以预测对存储系统实施计划动作的影响的预测对存储系统实施计划动作对存储系统的影响的方法

摘要

In the area of storage management, service automation can be realized through the use of “MAPE” loop(s). A Planner (P) interacts with the Monitoring (M), Analysis (A) and Execution (E) components in a closed loop. For each new option or potential planning action the Planner (P) invokes the Analysis (A) component. The correctness, as well as effectiveness, of the planning decision is dependent on the Analysis (A) component. Embodiments can utilize an adaptive Analysis (A) component (i.e., an analysis component that can be retrained) that also associates a value of confidence and a corresponding error in the evaluation along with a predicted impact. The Planner (P) component uses this additional information for quoting the final impact of a particular planning action as part of an adaptive MAPE loop to provide improved resource utilization and resource management.
机译:在存储管理领域,可以通过使用“ MAPE”循环来实现服务自动化。计划者(P)与监视(M),分析(A)和执行(E)组件在闭环中进行交互。对于每个新选项或潜在的计划操作,计划者(P)调用分析(A)组件。规划决策的正确性和有效性取决于分析(A)组件。实施例可以利用自适应分析(A)组件(即可以重新训练的分析组件),该组件也将置信度值和评估中的相应误差与预测影响相关联。计划程序(P)组件使用此附加信息来引用特定计划操作的最终影响,作为自适应MAPE循环的一部分,以提供改进的资源利用率和资源管理。

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