Druva has been granted a patent for a backup management system that includes a warm-tier data store and a cold-tier data store. The system captures snapshots from client devices and migrates data blocks from the warm-tier to the cold-tier based on reference counts. Data blocks with similar retention periods or expected restoration are grouped together and transmitted as a unit to the cold-tier data store. GlobalData’s report on Druva gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Druva, Hybrid cloud mgmt was a key innovation area identified from patents. Druva's grant share as of September 2023 was 60%. Grant share is based on the ratio of number of grants to total number of patents.

Data migration from warm-tier to cold-tier data store

Source: United States Patent and Trademark Office (USPTO). Credit: Druva Inc

A recently granted patent (Publication Number: US11755416B2) describes a computer-implemented method for migrating data from a warm-tier data store to a cold-tier data store. The method involves determining when originally warm snapshots have transitioned to cold snapshots and identifying data blocks stored in the warm-tier data store that are ready to be transferred to the cold-tier data store. This identification process includes determining the total reference count and cold reference count for each data block, incrementing the cold reference count for snapshots that have transitioned to cold, and transferring the data block when the cold reference count equals the total reference count.

The method also involves grouping subsets of data blocks based on retention periods or expected restoration. These subsets are then transmitted as units to the cold-tier data store for storage. The patent also includes a system comprising processors and computer-readable media that store instructions for implementing the method.

Additional claims in the patent describe variations of the method, such as grouping data blocks based on retention periods or expected restoration, comparing reference counts to threshold values, and imposing rules for migrating data blocks based on expected costs.

Overall, this patent presents a computer-implemented method and system for efficiently migrating data from a warm-tier data store to a cold-tier data store. By determining when snapshots transition from warm to cold and identifying data blocks ready for transfer, the method optimizes the migration process. Grouping data blocks based on retention periods or expected restoration allows for efficient transmission to the cold-tier data store. The patent provides a detailed description of the method and system, offering potential solutions for managing data storage and migration in a computer environment.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.