17957422. ATTRIBUTE BASED ASSET DISCOVERY FOR INTELLIGENT PROTECTION simplified abstract (Dell Products L.P.)

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ATTRIBUTE BASED ASSET DISCOVERY FOR INTELLIGENT PROTECTION

Organization Name

Dell Products L.P.

Inventor(s)

Sunil Yadav of Bangalore (IN)

Aaditya Rakesh Bansal of Bangalore (IN)

ATTRIBUTE BASED ASSET DISCOVERY FOR INTELLIGENT PROTECTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17957422 titled 'ATTRIBUTE BASED ASSET DISCOVERY FOR INTELLIGENT PROTECTION

Simplified Explanation

Embodiments of the invention relate to methods and systems for backing up user-defined logical assets. In accordance with one or more embodiments, a user may define a logical asset type prior to a backup being performed. The user may define the logical asset type based on any rules, filters, or attributes of files and/or folders stored in a file system. Once the user has defined the asset type, the system may utilize file-system meta-data to quickly ascertain which files and folders meet the definition of the logical asset type, allowing for the backup of the user-defined asset to be performed with minimal additional workload by the production hosts, clients, backup agents, and other associated components of the system.

  • User-defined logical assets can be backed up based on predefined rules and filters.
  • File-system meta-data is used to identify files and folders that meet the defined asset type.
  • Backup process is optimized to reduce workload on production hosts, clients, and backup agents.

Potential Applications

This technology can be applied in various industries such as data backup and recovery, cloud computing, and information management systems.

Problems Solved

This technology solves the problem of efficiently backing up user-defined logical assets without putting additional strain on the system resources.

Benefits

The benefits of this technology include faster and more efficient backup processes, reduced workload on production hosts, and improved data management capabilities.

Potential Commercial Applications

Potential commercial applications of this technology include data backup solutions for businesses, cloud storage services, and information management software.

Possible Prior Art

One possible prior art for this technology could be traditional backup systems that do not allow for user-defined logical asset types and rely on manual selection of files and folders for backup.

Unanswered Questions

== How does this technology handle large-scale data backups efficiently? This technology utilizes file-system meta-data to quickly identify and backup user-defined logical assets, which helps in handling large-scale data backups efficiently.

== What security measures are in place to protect the backed-up data? The security measures in place may include encryption of the backed-up data, access control mechanisms, and secure transmission protocols to protect the data during the backup process.


Original Abstract Submitted

Embodiments of the invention relate to methods and systems for backing up user defined logical assets. In accordance with one or more embodiments, a user may define a logical asset type prior to a backup being performed. The user may define the logical asset type based on any rules, filters, or attributes of files and/or folders stored in a file system. Once the user has defined the asset type, the system may utilize file-system meta-data to quickly ascertain which files and folders meet the definition of the logical asset type, allowing for the backup of the user defined asset to be performed with minimal additional workload by the production hosts, clients, backup agents, and other associated components of the system.