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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
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
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.
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