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Determination of a type of destage to perform based on preference between performance of operations and preservation of drive life using a machine learning module

机译:基于使用机器学习模块的操作性能与驱动寿命的保存的优先级,确定一种类型的饮用的确定

摘要

A storage controller is configured to perform a full stride destage, a strip destage, and an individual track destage. A machine learning module receives a plurality of inputs corresponding to a plurality of factors that affect performance of data transfer operations and preservation of drive life in the storage controller. In response to receiving the inputs, the machine learning module generates a first output, a second output, and a third output that indicate a preference measure for the full stride destage, the strip destage, and the individual track destage respectively.
机译:存储控制器被配置为执行完整的竞争亡品,剥离Destage和各个轨道下降。 机器学习模块接收对应于影响数据传输操作的性能和存储控制器中的驱动寿命的性能的多个因素的多个输入。 响应于接收到输入,机器学习模块产生第一输出,第二输出和第三输出,其分别表示完整步幅亡在的偏好度量,条带Destage和各个轨道亡地的偏好度量。

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