Dell products l.p. (20240134525). HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM simplified abstract
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 20240134525 titled 'HOST-READ-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM
Simplified Explanation
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).
- Computing device and storage device work together in an autonomous compute storage system.
- Storage device receives read instructions from the host processing system to copy data from storage subsystem to memory subsystem.
- If an autonomous compute signature matches the data copied to the memory subsystem, an autonomous compute application is executed to perform compute operations associated with the data.
Potential Applications
This technology could be applied in:
- Cloud computing systems
- Data centers
- Edge computing devices
Problems Solved
This technology solves issues related to:
- Efficient data processing
- Streamlining compute operations
- Enhancing system performance
Benefits
The benefits of this technology include:
- Faster data retrieval
- Improved compute operation efficiency
- Enhanced system automation
Potential Commercial Applications
The potential commercial applications of this technology could be seen in:
- Enterprise storage solutions
- Data processing services
- IoT devices
Possible Prior Art
One possible prior art for this technology could be:
- Autonomous data processing systems
- Automated storage devices
Unanswered Questions
How does this technology impact data security in storage systems?
This article does not delve into the specific security measures implemented in the autonomous compute storage device system.
What are the scalability limitations of this technology in large-scale computing environments?
The article does not address the potential challenges or limitations of scaling up this technology for use in extensive computing setups.
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).
