18351202. STORAGE SYSTEM, STORAGE DEVICE AND OPERATING METHOD THEREOF simplified abstract (Samsung Electronics Co., Ltd.)
Contents
- 1 STORAGE SYSTEM, STORAGE DEVICE AND OPERATING METHOD THEREOF
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 STORAGE SYSTEM, STORAGE DEVICE AND OPERATING METHOD THEREOF - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Questions about Storage Device Optimization
- 1.11 Original Abstract Submitted
STORAGE SYSTEM, STORAGE DEVICE AND OPERATING METHOD THEREOF
Organization Name
Inventor(s)
Jee-Seok Hyun of Suwon-si (KR)
STORAGE SYSTEM, STORAGE DEVICE AND OPERATING METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18351202 titled 'STORAGE SYSTEM, STORAGE DEVICE AND OPERATING METHOD THEREOF
Simplified Explanation
The patent application describes a controller for a storage device that uses machine learning to optimize performance.
- The controller has multiple performance units that control the storage device and a non-volatile memory device.
- The host device receives operating parameter values from the controller, generates combinations for the performance units, and uses a machine learning model to determine performance indices for each combination.
Key Features and Innovation
- Controller with multiple performance units
- Machine learning model for optimizing performance
- Use of operating parameter values to generate performance indices
Potential Applications
This technology can be applied in various storage devices such as solid-state drives, hard disk drives, and cloud storage systems.
Problems Solved
- Optimizing performance of storage devices
- Enhancing efficiency and speed of data storage and retrieval processes
Benefits
- Improved performance and reliability of storage devices
- Enhanced user experience with faster data access
- Potential cost savings through optimized storage operations
Commercial Applications
Optimizing storage device performance can benefit industries such as data centers, cloud computing providers, and consumer electronics manufacturers. This technology can lead to more efficient and reliable storage solutions in various applications.
Questions about Storage Device Optimization
How does machine learning improve the performance of storage devices?
Machine learning helps analyze operating parameter values and generate optimal combinations for the performance units, leading to improved efficiency and speed in data storage operations.
What are the potential cost savings associated with optimized storage device performance?
Optimizing storage device performance can lead to reduced energy consumption, increased lifespan of storage devices, and lower maintenance costs, resulting in overall cost savings for businesses and consumers.
Original Abstract Submitted
A controller of a storage device includes a plurality of performance units for controlling performance of the storage device, and controls a non-volatile memory device. A host device receives a plurality of first operating parameter values of each performance unit from the controller, generates a plurality of combinations for the plurality of performance units based on the plurality of first operating parameter values, and inputs the plurality of combinations into a machine learning model to infer a plurality of performance indices respectively corresponding to the plurality of combinations.
