17494480. STORAGE OPTIMIZATION BASED ON REFERENCES simplified abstract (International Business Machines Corporation)

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STORAGE OPTIMIZATION BASED ON REFERENCES

Organization Name

International Business Machines Corporation

Inventor(s)

Raghuveer Prasad Nagar of Kota (IN)

Harshit Sharma of Hathras (IN)

Jagadesh Ramaswamy Hulugundi of Bangalore (IN)

Gaurav Mahesh Pandit of Puntamba (IN)

STORAGE OPTIMIZATION BASED ON REFERENCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 17494480 titled 'STORAGE OPTIMIZATION BASED ON REFERENCES

Simplified Explanation

The abstract describes an approach for optimizing storage on a local storage device by identifying and managing media files stored on the device. Here are the key points:

  • The approach identifies media files stored or being stored on a user's local storage device.
  • Metadata from the media file is extracted to gather information about it.
  • The approach searches for a matching media file in the user's associated storage locations based on the metadata.
  • If a matching media file is found, artificial intelligence (AI) is used to predict whether the local device storage should be optimized for that media file.
  • If optimization is predicted, a link to the matching media file is stored on the local device storage using AI.
  • The original media file is then removed from the local device storage.

Potential applications of this technology:

  • Media file management: This approach can be used to efficiently manage and optimize storage for media files such as photos, videos, or audio files on a local storage device.
  • Cloud integration: By storing links to matching media files on the local device, this approach can facilitate seamless integration with cloud storage services, allowing users to access their media files from anywhere.

Problems solved by this technology:

  • Storage optimization: The approach helps in optimizing storage on local devices by removing duplicate or unnecessary media files and storing links instead.
  • Efficient media file retrieval: Storing links to matching media files allows for quicker and easier access to the files, especially when integrated with cloud storage.

Benefits of this technology:

  • Storage space savings: By removing duplicate or unnecessary media files, users can free up valuable storage space on their local devices.
  • Improved organization: Storing links to matching media files helps in organizing and managing media files more effectively.
  • Enhanced accessibility: Integration with cloud storage allows users to access their media files from various devices and locations.


Original Abstract Submitted

An approach for optimizing storage on a local storage device. The approach identifies a stored or being stored on a user’s local storage device. The approach extracts metadata from the media file. The approach searches the user-associated storage locations for a matching media file based on the metadata. If the approach locates the matching media file, then the approach, using artificial intelligence (AI), predicts if the local device storage should be optimized for the media file, then the approach, using AI, stores a link to the matching media file on the local device storage and removes the media file from the local device storage.

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