18128442. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION simplified abstract (Dell Products L.P.)

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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SNAPSHOT CLASSIFICATION

Organization Name

Dell Products L.P.

Inventor(s)

Weibing Zhang of Beijing (CN)

Victor Lei Gao of Beijing (CN)

Hao Fang of Beijing (CN)

Donglei Wang of Beijing (CN)

Zhe He 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 18128442 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 into clean and damaged snapshots based on their generation times.

  • Clustering snapshots based on data features
  • Differentiating clean and damaged snapshots based on generation times

Potential Applications

This technology can be applied in data recovery systems, backup solutions, and data management tools.

Problems Solved

1. Efficient identification of clean snapshots 2. Quick recovery of data in case of damaged snapshots

Benefits

1. Automatic and quick classification of snapshots 2. Improved efficiency in finding clean snapshots 3. Faster data recovery for users

Potential Commercial Applications

Optimizing data recovery processes in IT companies Improving backup solutions for businesses

Possible Prior Art

There may be existing techniques for snapshot classification based on data features, but the specific method of differentiating clean and damaged snapshots based on generation times may be novel.

Unanswered Questions

How does this technique handle large volumes of snapshots efficiently?

The patent application does not provide details on how the technique can scale to handle a large number of snapshots effectively. This scalability aspect is crucial for real-world applications where storage systems may have thousands or even millions of snapshots.

Are there any potential privacy concerns related to analyzing snapshot data for classification purposes?

The abstract does not address any privacy implications of analyzing snapshot data to classify clean and damaged snapshots. It would be important to consider how this analysis impacts the privacy of the data stored in the snapshots and whether any sensitive information could be exposed during the classification process.


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.

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