Dell products l.p. (20240345928). PRE-BACKUP ANOMALOUS OBJECT DETECTION AND EXCLUSION RULE CREATION simplified abstract
Contents
PRE-BACKUP ANOMALOUS OBJECT DETECTION AND EXCLUSION RULE CREATION
Organization Name
Inventor(s)
Aaditya Rakesh of Bathinda (IN)
Upanshu Singhal of Bangalore (IN)
PRE-BACKUP ANOMALOUS OBJECT DETECTION AND EXCLUSION RULE CREATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240345928 titled 'PRE-BACKUP ANOMALOUS OBJECT DETECTION AND EXCLUSION RULE CREATION
The patent application describes a method, computer-readable medium, and system for pre-backup anomalous object detection and exclusion rule creation in enterprise information technology environments.
- During a pre-backup stage, assets are examined to identify anomalous objects that may cause backup failure.
- Anomalous objects are recorded in a backup skip list and excluded from current and future backups.
- Exclusion rules are automatically created to adjust backup policies for the affected assets.
Potential Applications: - Data backup systems in large enterprises - Information technology security measures
Problems Solved: - Preventing backup failures caused by anomalous objects - Improving the efficiency of backup processes
Benefits: - Enhanced data protection - Reduced risk of backup failures - Streamlined backup management
Commercial Applications: Title: "Enhanced Data Backup System for Enterprise Environments" This technology can be utilized by large corporations, data centers, and IT service providers to ensure the integrity and efficiency of their backup processes. It can improve data security and reduce the likelihood of data loss due to backup failures.
Prior Art: Researchers can explore existing patents related to data backup systems, anomaly detection in IT environments, and backup exclusion rules to understand the evolution of this technology.
Frequently Updated Research: Stay informed about advancements in data backup technologies, anomaly detection algorithms, and backup policy management in enterprise environments to enhance the effectiveness of this innovation.
Questions about Pre-Backup Anomalous Object Detection and Exclusion Rule Creation: 1. How does this technology contribute to the overall data protection strategy of an enterprise? This technology enhances data protection by identifying and excluding anomalous objects that could lead to backup failures, ensuring the integrity of backup processes.
2. What are the potential challenges in implementing exclusion rules based on pre-backup anomalous object detection? Implementing exclusion rules may require thorough testing and validation to ensure that legitimate data is not mistakenly excluded from backups, balancing data security and backup efficiency.
Original Abstract Submitted
a method, non-transitory computer readable medium, and a system for pre-backup anomalous object detection and exclusion rule creation. enterprise information technology environments often include any number of assets maintaining vast quantities of data and state. any asset, in turn, may be riddled with various anomalous objects that tend to cause backup failure. embodiments described herein address backup failure due to the presence of anomalous objects by, during a pre-backup stage, examining any number of assets to identify any anomalous objects there-within. once identified, the anomalous object(s) (or metadata descriptive thereof) may be recorded within a backup skip list and, subsequently, excluded from the current and/or any future backup(s). exclusion of the anomalous object(s), from said backup(s), may be enforced through the automatic creation of one or many exclusion rule(s) that impact, and thus adjust, the backup policy/policies associated with the asset(s).
