17936983. METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS simplified abstract (Dell Products L.P.)
Contents
- 1 METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS
Organization Name
Inventor(s)
Nitin Madan of Cupertino CA (US)
Bhimsen Bhanjois of Fremont CA (US)
Kiran Kumar Malle Gowda of Bangalore (IN)
METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 17936983 titled 'METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS
Simplified Explanation
The patent application describes a corruption detection system for backups in a backup environment. The system includes a detection engine that performs corruption detection operations on the most recent backups in each lineage based on a sample frequency, as well as randomly and based on unexpected changes in backup metadata.
- Detection engine configured to perform corruption detection operations
- Corruption detection operations performed on most recent backups in each lineage
- Operations based on sample frequency, randomness, and unexpected changes in metadata
Potential Applications
The technology could be applied in various industries where data integrity is crucial, such as finance, healthcare, and government sectors.
Problems Solved
1. Ensures data integrity in backup systems 2. Detects corruption early to prevent data loss
Benefits
1. Improved data reliability 2. Early detection of corruption 3. Prevents data loss
Potential Commercial Applications
"Data Integrity Assurance System for Backup Environments"
Possible Prior Art
There are existing backup solutions that focus on data protection and recovery, but specific corruption detection mechanisms like the one described in this patent application may not be readily available.
What is the impact of corruption detection in backups on data security?
Corruption detection in backups plays a crucial role in ensuring data security by identifying and addressing potential issues that could compromise the integrity of stored data. By detecting corruption early, organizations can prevent data loss and maintain the reliability of their backup systems.
How does the sample frequency affect the efficiency of corruption detection operations?
The sample frequency determines how often corruption detection operations are performed on the most recent backups in each lineage. A higher sample frequency can increase the likelihood of detecting corruption promptly, but it may also require more resources. Finding the right balance between sample frequency and efficiency is essential for optimizing the corruption detection process.
Original Abstract Submitted
Corruption detection in backups is disclosed. Backups that are received into a backup environment are stored in corresponding lineages. A detection engine is configured to perform corruption detection operations on the most recent backups in each of the lineages based on a sample frequency. Corruption detection operations may also be performed randomly and based on unexpected or unusual changes in backup metadata.
