Dell products l.p. (20240103974). LEVERAGING BACKUP PROCESS METADATA FOR CLOUD OBJECT STORAGE SELECTIVE DELETIONS simplified abstract

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LEVERAGING BACKUP PROCESS METADATA FOR CLOUD OBJECT STORAGE SELECTIVE DELETIONS

Organization Name

dell products l.p.

Inventor(s)

Sunil Yadav of Bangalore (IN)

Shelesh Chopra of Bangalore (IN)

LEVERAGING BACKUP PROCESS METADATA FOR CLOUD OBJECT STORAGE SELECTIVE DELETIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240103974 titled 'LEVERAGING BACKUP PROCESS METADATA FOR CLOUD OBJECT STORAGE SELECTIVE DELETIONS

Simplified Explanation

The patent application describes a method and system for leveraging backup process metadata for cloud object storage selective deletions. This technology aims to efficiently manage and delete data stored in cloud object storage by utilizing metadata generated during backup processes.

  • Cloud object storage architecture allows for the management and storage of unstructured data as objects in the cloud.
  • Objects provide an elastic and scalable format for maintaining unstructured data for various purposes such as backup, archiving, and disaster recovery.
  • Data stored within objects may belong to one or multiple files, making post-upload activities like deletions complex and resource-intensive.
  • The disclosed embodiments use metadata from backup processes to efficiently handle post-upload activities without compromising data integrity.

Potential Applications

This technology can be applied in cloud storage services, data backup solutions, and data management systems to streamline the deletion process of stored data.

Problems Solved

1. Complex and resource-intensive post-upload activities in cloud object storage. 2. Ensuring data integrity and compliance with regulatory requirements during data deletions.

Benefits

1. Improved efficiency in managing and deleting data in cloud object storage. 2. Enhanced data protection and compliance with regulatory standards. 3. Resource optimization in handling post-upload activities.

Potential Commercial Applications

Optimizing data management processes in cloud storage services, backup solutions, and data-intensive industries.

Possible Prior Art

There may be existing technologies or methods that leverage metadata for data management in cloud storage systems, but specific prior art is not provided in this patent application.

Unanswered Questions

How does this technology impact data security in cloud object storage systems?

This technology aims to efficiently manage and delete data in cloud object storage, but it is essential to understand how it affects data security measures and safeguards in place within these systems.

What are the potential scalability limitations of this technology in handling large volumes of data in cloud object storage?

While the technology aims to optimize data management processes, it is crucial to consider how it scales when dealing with massive amounts of data stored in cloud object storage systems.


Original Abstract Submitted

a method and system for leveraging backup process metadata for cloud object storage selective deletions. under cloud object storage architecture, any unstructured data may be managed and stored in the cloud as objects. objects thus provide an elastic, scalable format through which unstructured data may be maintained for a variety of purposes, including those directed to data backup, archiving, and/or disaster recovery. further, any unstructured data, stored within any object, may pertain to one or many file(s). should data, from multiple files, be stored within a shared object, any post-upload activity (e.g., modifications or deletions in keeping with data regulatory compliances) targeting said data, belonging to any one file or a subset of files, may be complex and resource-expensive. in addressing these undesirable qualities, embodiments disclosed herein use metadata, produced during and/or following backup processes protecting file data, to fulfill said post-upload activity resource-efficiently and without data compromising effects.