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PERFORMANCE OPTIMIZATION OF OBJECT GROUPING SCHEMA IN A NETWORK KEY-VALUE STORAGE DEVICE USING ADAPTIVE REGRESSION
PERFORMANCE OPTIMIZATION OF OBJECT GROUPING SCHEMA IN A NETWORK KEY-VALUE STORAGE DEVICE USING ADAPTIVE REGRESSION
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机译:使用自适应回归的网络密钥值存储设备中对象分组模式的性能优化
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摘要
Provided is a method including receiving object IOs for a target device, grouping the object IOs using a first plurality of input parameters, associating a tracking parameter with the first plurality of input parameters and a performance parameter corresponding to the first plurality of input parameters, storing a first data entry including the tracking parameter, the first plurality of input parameters, and the performance parameter in a database, extracting a plurality of data entries from the database, the plurality of data entries including the first data entry, training a training model using one or more of the plurality of data entries, cross-validating the training model to determine a degree of error reduction of the training model, performing a model check to compare the training model to an inferencing model, and updating the inferencing model based on the model check.
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