Druva. has filed a patent for a data management system that efficiently handles concurrent readers and writers for large file scans. The system reads data chunks from different offsets, loads them into a buffer, generates write requests, and creates checkpoints based on data offsets for efficient data storage. GlobalData’s report on Druva gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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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 January 2024 was 60%. Grant share is based on the ratio of number of grants to total number of patents.
Data management system for concurrent readers and writers
The patent application (Publication Number: US20240028470A1) describes a computer-implemented method for backing up a file from a data source to a data storage. The method involves reading data chunks of the file from the data source in a buffer-bounded reading stage, generating read requests to load data chunks into a buffer, queuing loaded data chunks for write requests, and writing released data chunks to the data storage in a checkpointed writing stage. The process includes determining read tokens for concurrency, maintaining read and write offsets, creating checkpoints based on data offsets, and managing file maps with write parameters.
Furthermore, the patent application includes claims for a non-transitory computer-readable medium and a computing system storing instructions for the backup process. These instructions enable processors to perform the buffer-bounded reading and checkpointed writing stages, manage read tokens, read and write offsets, create checkpoints, and handle file maps efficiently. The system ensures data chunks are successfully transferred to the data storage in a structured and organized manner, enhancing the reliability and effectiveness of file backups. Overall, the patent application outlines a comprehensive method and system for efficient file backup processes using a combination of buffer-bounded reading and checkpointed writing stages.
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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.
