Dell products l.p. (20240134542). HOST-WRITE-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM simplified abstract
Contents
- 1 HOST-WRITE-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HOST-WRITE-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-WRITE-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-WRITE-BASED AUTONOMOUS COMPUTE STORAGE DEVICE SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134542 titled 'HOST-WRITE-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 write instruction from a host processing system in the computing device that includes data for storage in a storage subsystem that is included in the storage device. In response, the storage device performs a write operation to provide the data in a memory subsystem that is accessible to the storage device and stores the data in the storage subsystem. If the storage device determines that an autonomous compute signature matches the data that was provided in the memory subsystem during the performance of the write operation, it executes an autonomous compute application to perform compute operations that are associated with the data that was provided in the memory subsystem during the performance of the write operation and generate at least one compute operation result.
- The system includes a computing device and a storage device.
- The storage device receives a write instruction from the computing device.
- Data is stored in a storage subsystem within the storage device.
- The storage device performs a write operation to store the data in the storage subsystem.
- An autonomous compute application is executed if a signature match is found.
- Compute operations associated with the data are performed, generating at least one compute operation result.
Potential Applications
The technology could be applied in:
- Data centers
- Cloud computing environments
- Edge computing systems
Problems Solved
This technology solves issues related to:
- Efficient data storage and processing
- Automation of compute operations
- Integration of compute and storage functions
Benefits
The benefits of this technology include:
- Faster data processing
- Improved system efficiency
- Enhanced data security
Potential Commercial Applications
The technology could be commercially applied in:
- Enterprise storage solutions
- Big data analytics platforms
- High-performance computing systems
Possible Prior Art
One possible prior art for this technology could be the integration of compute and storage functions in traditional data storage systems.
Unanswered Questions
How does this technology impact data center efficiency?
This technology can significantly improve data center efficiency by automating compute operations and streamlining data storage processes.
What are the potential security implications of using autonomous compute storage devices?
The use of autonomous compute storage devices may raise concerns about data security and privacy, as the system autonomously performs compute operations on stored 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 write instruction from a host processing system in the computing device that includes data for storage in a storage subsystem that is included in the storage device and, in response, performs a write operation to provide the data in a memory subsystem that is accessible to the storage device and store the data in the storage subsystem. if the storage device determines that an autonomous compute signature matches the data that was provided in the memory subsystem during the performance of the write operation, it executes an autonomous compute application to perform compute operations that are associated with the data that was provided in the memory subsystem during the performance of the write operation and generate at least one compute operation result.
