Training data generation method and system of decision level prediction model, and storage medium
A technology of level judgment and prediction model, applied in prediction, calculation model, static memory and other directions, can solve the problems of residence time calculation error, increase model/algorithm complexity, data inaccuracy, etc., to reduce the test workload, The effect of saving test costs
Active Publication Date: 2022-03-01
DERA CO LTD
View PDF13 Cites 6 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0007] 2. The currently collected data needs to mark the write / read temperature, and the model / algorithm using this data needs to use the write / read temperature as an input condition for training, which increases the complexity of the model / algorithm;
[0008] 3. In the existing scheme, the temperature of the high and low temperature box is changed or the temperature of multiple constant temperature boxes is used to measure the data. On the one hand, the cost of the thermostat is relatively high. data inaccuracy
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0071] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0072] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more o...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention provides a training data generation method and system for a decision level prediction model, and a storage medium. The method comprises the following steps: acquiring temperature-crossing scanning data of a storage unit in different temperature environments after equivalent residence time is greater than or equal to target equivalent residence time; performing temperature compensation data fitting on optimal judgment level data according to the cross-temperature scanning data, and taking a straight slope of the optimal judgment level data along with temperature fitting as a temperature compensation coefficient; acquiring an optimal judgment level data set for performing data reading when the storage unit is in a specified temperature environment at different equivalent residence times; and correcting the obtained optimal decision level data set according to the obtained temperature compensation coefficient to obtain training data of the decision level prediction model. According to the invention, the test workload of the training data of the decision level prediction model in the data generation link is greatly reduced, and the test cost is saved.
Description
technical field [0001] The present invention relates to the technical field of data storage, in particular to a method, system and storage medium for generating training data of a decision level prediction model. Background technique [0002] With the continuous improvement of the global Internet level, the global demand for data storage is also increasing. The current mainstream storage devices of computer servers are mainly divided into two types: HD (Hard Disk, mechanical hard disk) and SSD (Solid State Drive, solid state drive). Solid-state drives and mechanical hard drives are essentially hardware used for data storage, and the essential difference lies in their different storage media. The traditional mechanical hard disk uses a mechanical disk as the storage medium, and stores and reads data through the mechanical structure between the magnetic arm, the magnetic head, and the disk; while the solid-state hard disk uses NAND flash memory (non-volatile memory) as the st...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06N20/00G06Q10/04G11C29/56
CPCG06N20/00G06Q10/04G11C29/56
Inventor 秦东润刘晓健王嵩
Owner DERA CO LTD