18157467. SYSTEM AND METHOD FOR DATA PROTECTION USING MACHINE LEARNING simplified abstract (Dell Products L.P.)
Contents
SYSTEM AND METHOD FOR DATA PROTECTION USING MACHINE LEARNING
Organization Name
Inventor(s)
Shelesh Chopra of Bangalore (IN)
SYSTEM AND METHOD FOR DATA PROTECTION USING MACHINE LEARNING - A simplified explanation of the abstract
This abstract first appeared for US patent application 18157467 titled 'SYSTEM AND METHOD FOR DATA PROTECTION USING MACHINE LEARNING
The method described in the abstract involves providing rules to hosts for performing backup operations, receiving metadata from hosts, analyzing the metadata, adjusting the rules based on the analysis, and providing the adjusted rules back to the hosts.
- The method involves hosts sending files to backup locations based on a set of rules.
- Metadata corresponding to the backed-up files is collected from each host.
- A learning module analyzes the metadata to provide insights.
- The set of rules is adjusted based on the metadata analysis.
- The adjusted rules are then provided back to the hosts for use in identifying backup locations for files.
Potential Applications: - Data backup and recovery systems - Information management and organization tools - Cloud storage services
Problems Solved: - Efficient backup operations - Improved data recovery processes - Enhanced data protection and security
Benefits: - Streamlined backup procedures - Enhanced data organization - Increased data security and reliability
Commercial Applications: Title: "Advanced Data Backup and Recovery System for Enhanced Information Management" This technology can be utilized by data management companies, cloud storage providers, and businesses with large data storage needs to improve their backup and recovery processes, ensuring data security and reliability.
Questions about the technology: 1. How does the method of adjusting rules based on metadata analysis improve backup operations? 2. What are the potential implications of using this technology in cloud storage services?
Original Abstract Submitted
A method for information recovery includes providing a set of rules to hosts, where each host performs a backup operation using the set of rules by sending at least one file to at least one backup location. The method also includes receiving, from each host, a first metadata corresponding to files backed up in the backup operation, where the metadata from each host forms a set of metadata, providing the set of metadata to a learning module, receiving from the learning module metadata analysis, adjusting, using the metadata analysis, the set of rules to obtain an adjusted set of rules, and providing the adjusted set of rules to the plurality of hosts, where at least one host of the hosts uses the adjusted set of rules to identify a backup location for a file.
