Dell products l.p. (20240111752). METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS simplified abstract

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METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS

Organization Name

dell products l.p.

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 20240111752 titled 'METHOD FOR LINEAGE SAMPLING TO EFFICIENTLY DETECT CORRUPTIONS

Simplified Explanation

The patent application describes a system for detecting corruption in backups by analyzing the most recent backups in each lineage based on a sample frequency and unexpected changes in backup metadata.

  • The system stores backups in corresponding lineages within a backup environment.
  • A detection engine is configured to perform corruption detection operations on the most recent backups in each lineage.
  • Corruption detection operations are based on a sample frequency and may also be triggered by unexpected or unusual changes in backup metadata.

Potential Applications

This technology could be applied in various industries where data integrity is crucial, such as finance, healthcare, and government.

Problems Solved

1. Ensures data integrity by detecting corruption in backups. 2. Helps prevent data loss and maintain the reliability of backup systems.

Benefits

1. Early detection of corruption in backups. 2. Improved data security and reliability. 3. Minimized risk of data loss.

Potential Commercial Applications

"Data Integrity Solutions for Businesses: Detecting Corruption in Backups"

Possible Prior Art

There are existing backup solutions that focus on data integrity and corruption detection, but the specific method described in this patent application may be novel.

Unanswered Questions

How does the system handle large volumes of backups for analysis?

The patent application does not provide details on how the system manages and processes a large number of backups for corruption detection.

What is the impact of false positives in corruption detection?

The application does not address the potential consequences of false positives in corruption detection and how they are mitigated.


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.