Druva has been granted a patent for a space-efficient change journal for a storage system. The system uses a log-structured merge-tree (LSM tree) to organize metadata, with indices merged in response to updates. The processor maintains the change journal based on identified entries, ensuring efficient tracking of metadata updates. 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.
Space-efficient change journal for storage system
A recently granted patent (Publication Number: US11868335B2) discloses a change journal for a storage system that efficiently tracks updates to stored metadata of files in a chronological order. The system includes a memory with computer-readable instructions and a processor that organizes metadata using a log-structured merge-tree (LSM tree). The LSM tree consists of multiple indexing layers where indices are merged in response to metadata updates, with unnecessary indices identified and removed based on a retention policy. This innovative approach ensures the maintenance of the change journal to monitor file updates accurately.
Furthermore, the patent details the use of the LSM tree to store metadata related to various file types, emails, conversations, and structured records. The storage system can be implemented with direct attached storage, cloud-based storage, or a combination of both. The method involves creating and organizing indices in a chronological order, with garbage collection performed post-merging to optimize the change journal's efficiency. The system's indexing unit plays a crucial role in managing metadata and ensuring that the change journal accurately reflects the updates made to the stored files. Overall, the patented technology offers a sophisticated solution for tracking and managing file changes within a storage system, enhancing data organization and retrieval processes.
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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.
