17643192. FILE STORAGE SYSTEM BASED ON ATTRIBUTES OF FILE COMPONENTS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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FILE STORAGE SYSTEM BASED ON ATTRIBUTES OF FILE COMPONENTS

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Raghuveer Prasad Nagar of Kota (IN)

Harshit Sharma of Hathras (IN)

Satisha C. Honnavalli of Bangalore (IN)

Parvathy Rajeev of Bengaluru (IN)

FILE STORAGE SYSTEM BASED ON ATTRIBUTES OF FILE COMPONENTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17643192 titled 'FILE STORAGE SYSTEM BASED ON ATTRIBUTES OF FILE COMPONENTS

Simplified Explanation

The patent application describes an AI and IoT based system that predicts the storage requirements for different components of a file and takes appropriate storage actions based on these predictions.

  • The system uses artificial intelligence and internet of things technologies to analyze and predict the chronological requirements of file components.
  • It determines the optimal storage actions for each component based on these predictions.
  • The system can automatically adjust the storage actions as the chronological requirements of the file components change.
  • It provides a more efficient and optimized storage solution for files, reducing storage costs and improving performance.

Potential Applications

  • Cloud storage platforms can utilize this technology to optimize storage actions for files, improving overall performance and reducing costs.
  • Data centers can benefit from this system by efficiently managing the storage of large amounts of data.
  • Content delivery networks can use this technology to optimize the storage and delivery of content to end-users.

Problems Solved

  • Inefficient storage management: The system solves the problem of inefficient storage management by predicting the chronological requirements of file components and taking appropriate storage actions.
  • Costly storage solutions: By optimizing storage actions, the system helps reduce storage costs for organizations.
  • Performance issues: The system improves performance by ensuring that file components are stored and accessed in the most efficient way.

Benefits

  • Cost savings: Organizations can save on storage costs by implementing this system and optimizing their storage actions.
  • Improved performance: The system ensures that file components are stored and accessed in the most efficient way, leading to improved performance.
  • Enhanced storage management: By predicting and adjusting storage actions, the system provides a more efficient and optimized storage solution.


Original Abstract Submitted

Providing an Artificial Intelligence (AI) and Internet of Things (IoT) based system and method that predicts the chronological requirements for various components of the file-being-stored, and then takes an appropriate storage action on each component based on the predicted chronological requirements.

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