Dell products l.p. (20240095358). METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION simplified abstract
Contents
- 1 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION - 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, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION
Organization Name
Inventor(s)
Victor Lei Gao of Beijing (CN)
METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095358 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION
Simplified Explanation
The patent application describes a technique for classifying snapshots of a storage system by clustering them based on data features and comparing their generation times to distinguish between clean and damaged snapshots.
- Generating multiple snapshots of a storage system at different times
- Clustering snapshots into two groups based on data features
- Determining clean snapshot by comparing generation times of the two groups
Potential Applications
This technology can be applied in data recovery systems, backup solutions, and storage management tools.
Problems Solved
This technology helps in quickly identifying clean snapshots, improving data recovery efficiency, and reducing the risk of data loss.
Benefits
The benefits of this technology include faster data recovery, improved storage system management, and enhanced data protection.
Potential Commercial Applications
Commercial applications of this technology can be found in data backup software, cloud storage services, and disaster recovery solutions.
Possible Prior Art
One possible prior art could be snapshot classification techniques based on data features, but the specific method of clustering and comparing generation times may be novel.
Unanswered Questions
How does this technology handle large volumes of snapshots efficiently?
The patent application does not provide details on how the clustering and comparison process is optimized for scalability and performance.
What impact does this technology have on storage system performance?
The patent application does not address the potential impact of snapshot classification on the overall performance of the storage system.
Original Abstract Submitted
techniques for snapshot classification involve generating a plurality of snapshots of a storage system at multiple times; clustering the plurality of snapshots into a first group of snapshots and a second group of snapshots based on data features of the plurality of snapshots; and determining a clean snapshot among the plurality of snapshots based on a comparison between the generation time of the first group of snapshots and the generation time of the second group of snapshots. accordingly, a clean snapshot and a damaged snapshot can be automatically and quickly distinguished, thereby improving the efficiency of finding a clean snapshot and helping a user recover data quickly.
