NetApp’s patent involves a method for generating dataset images by coordinating volume images from multiple storage systems. The process includes creating operation identifiers, sending requests to each storage system, and combining the resulting volume images into a complete dataset image. GlobalData’s report on NetApp 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 NetApp, Decentralized data stores was a key innovation area identified from patents. NetApp's grant share as of April 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Parallel dataset image creation across multiple storage systems
A recently granted patent (Publication Number: US11966301B2) discloses a method for generating an operation identifier to represent an overall dataset image operation for producing a dataset image from data stored across multiple volumes maintained by different storage systems. The method involves executing the operation by sending requests to the respective storage systems to create volume images, resulting in the creation of the dataset image comprising these volume images. Additionally, the method includes transmitting volume-cleanup requests to delete the volume images once they are identified as part of the dataset image, ensuring efficient data management.
Furthermore, the patent describes the generation of data structures to facilitate the processing of dataset image operations, including configuration data structures with volume entries representing different volumes and their associated storage systems. The method also involves the creation of new dataset-operation and volume-operation data structures associated with the operation identifier, containing essential information such as start time, timeout periods, and storage system identifiers. The patent also covers the implementation of these methods on a computing device, comprising memory with machine executable code and a processor to execute the code for generating operation identifiers and executing dataset image operations across multiple storage systems, streamlining the creation and management of dataset images.
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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.
