Dell products l.p. (20240137369). AUTONOMOUS COMPUTE STORAGE DEVICE SIGNATURE/APPLICATION SYSTEM simplified abstract

From WikiPatents
Revision as of 03:02, 26 April 2024 by Wikipatents (talk | contribs) (Creating a new page)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

AUTONOMOUS COMPUTE STORAGE DEVICE SIGNATURE/APPLICATION SYSTEM

Organization Name

dell products l.p.

Inventor(s)

Ali Aiouaz of Bee Cave TX (US)

Gaurav Chawla of Austin TX (US)

Leland W. Thompson of Tustin CA (US)

AUTONOMOUS COMPUTE STORAGE DEVICE SIGNATURE/APPLICATION SYSTEM - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240137369 titled 'AUTONOMOUS COMPUTE STORAGE DEVICE SIGNATURE/APPLICATION SYSTEM

Simplified Explanation

An autonomous compute storage device system includes an autonomous compute storage device signature/application provisioning system coupled to a storage device. The storage device retrieves an autonomous compute signature from the autonomous compute storage device signature/application provisioning system and, as part of a storage operation being performed in a storage subsystem in the storage device, stores data in a memory subsystem that is accessible to the storage device. If the storage device determines that the autonomous compute signature matches the data that was stored in the memory subsystem, it retrieves an autonomous compute application from the autonomous compute storage device signature/application provisioning system, and executes the autonomous compute application to perform compute operations that are associated with the data that was stored in the memory subsystem and generate at least one compute operation result.

  • Autonomous compute storage device system
  • Storage device coupled to signature/application provisioning system
  • Retrieval of autonomous compute signature
  • Storage of data in memory subsystem
  • Execution of autonomous compute application
  • Compute operations associated with stored data
  • Generation of compute operation result

Potential Applications

The technology could be applied in:

  • Cloud computing
  • Data centers
  • Edge computing

Problems Solved

This technology helps in:

  • Efficient data storage and retrieval
  • Streamlining compute operations
  • Enhancing system automation

Benefits

The benefits of this technology include:

  • Improved data processing speed
  • Enhanced system performance
  • Reduced manual intervention

Potential Commercial Applications

The technology could be commercially applied in:

  • Enterprise storage solutions
  • IoT devices
  • High-performance computing systems

Possible Prior Art

One possible prior art for this technology could be:

  • Autonomous data storage systems in cloud computing environments

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 to protect data.

What are the scalability limitations of this technology in large-scale storage environments?

The article does not address the potential challenges or limitations of scaling up this technology for use in extensive storage systems.


Original Abstract Submitted

an autonomous compute storage device system includes an autonomous compute storage device signature/application provisioning system coupled to a storage device. the storage device retrieves an autonomous compute signature from the autonomous compute storage device signature/application provisioning system and, as part of a storage operation being performed in a storage subsystem in the storage device, stores data in a memory subsystem that is accessible to the storage device. if the storage device determines that the autonomous compute signature matches the data that was stored in the memory subsystem, it retrieves an autonomous compute application from the autonomous compute storage device signature/application provisioning system, and executes the autonomous compute application to perform compute operations that are associated with the data that was stored in the memory subsystem and generate at least one compute operation result.