Dell products l.p. (20240248875). SYSTEM AND METHOD FOR DATA PROTECTION USING MACHINE LEARNING simplified abstract
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 20240248875 titled 'SYSTEM AND METHOD FOR DATA PROTECTION USING MACHINE LEARNING
The abstract describes a method for information recovery that involves providing rules to hosts for backup operations, receiving metadata from each host, analyzing the metadata, adjusting the rules based on the analysis, and providing the adjusted rules back to the hosts for identifying backup locations.
- The method involves hosts performing backup operations using a set of rules.
- Metadata corresponding to files backed up in the operation is collected from each host.
- The metadata is analyzed by a learning module to adjust the rules.
- The adjusted rules are then provided back to the hosts for improved backup location identification.
Potential Applications: - Data backup and recovery systems - Information management in large-scale networks - Disaster recovery planning
Problems Solved: - Efficient and effective information recovery - Automated adjustment of backup rules based on analysis - Enhanced data protection and security
Benefits: - Improved data backup processes - Reduced risk of data loss - Enhanced system reliability and resilience
Commercial Applications: Title: "Advanced Information Recovery System for Data Backup" This technology can be utilized by IT companies, data centers, and organizations with large data storage needs to streamline their backup processes, improve data security, and ensure quick recovery in case of data loss.
Prior Art: Researchers and developers in the field of data management systems, backup solutions, and artificial intelligence may have explored similar methods for optimizing backup operations and enhancing data recovery processes.
Frequently Updated Research: Stay updated on advancements in data backup technologies, machine learning algorithms for data analysis, and innovations in information recovery systems to further enhance the efficiency and effectiveness of this method.
Questions about Information Recovery System: 1. How does the method ensure the security and integrity of backed-up data? 2. What are the potential challenges in implementing this technology in large-scale networks?
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.
