17969732. HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM simplified abstract (Dell Products L.P.)
Contents
- 1 HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM
Organization Name
Inventor(s)
Ali Aiouaz of Bee Cave TX (US)
Gaurav Chawla of Austin TX (US)
Leland W. Thompson of Tustin CA (US)
HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 17969732 titled 'HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM
Simplified Explanation
The abstract describes an autonomous compute storage device system that includes a computing device and a storage device. The storage device receives read instructions from a host processing system, copies data from a storage subsystem to a memory subsystem, and provides the data to the host processing system. If an autonomous compute signature matches the copied data, the storage device executes an autonomous compute application to perform compute operations associated with the data.
- Computing device and storage device are coupled in the system.
- Storage device receives read instructions from host processing system.
- Data is copied from storage subsystem to memory subsystem.
- Data is provided to host processing system.
- Autonomous compute application is executed if signature matches copied data.
Potential Applications
The technology could be applied in:
- Data centers for efficient data processing.
- Cloud computing for improved performance.
- Edge computing for faster data analysis.
Problems Solved
This technology helps in:
- Streamlining data processing operations.
- Reducing latency in data retrieval.
- Enhancing overall system performance.
Benefits
The benefits of this technology include:
- Faster data access and processing.
- Improved system efficiency.
- Enhanced data security.
Potential Commercial Applications
The technology could be commercially applied in:
- Storage solutions for businesses.
- Data analytics companies.
- Cloud service providers.
Possible Prior Art
One possible prior art for this technology could be:
- Autonomous storage systems that perform data operations without human intervention.
Unanswered Questions
How does the autonomous compute signature match the data copied to the memory subsystem?
The abstract does not provide specific details on how the autonomous compute signature is generated or verified.
What types of compute operations are associated with the data during the read operation?
The abstract does not elaborate on the specific compute operations that are performed based on the copied data.
Original Abstract Submitted
An autonomous compute storage device system includes a computing device and a storage device that is coupled to the computing device. The storage device receives a read instruction from a host processing system in the computing device that identifies data stored in a storage subsystem included in the storage device and, in response, performs a read operation to copy the data from the storage subsystem to a memory subsystem accessible to the storage device and provide the data to the host processing system. If the storage device determines that an autonomous compute signature matches the data that was copied to the memory subsystem during the performance of the read operation, it executes an autonomous compute application to perform compute operations that are associated with the data that was copied to the memory subsystem during the performance of the read operation and generate compute operation result(s).
