Unisys‘s patent involves a processor-based method for building and appending data structures in a multi-host environment. The innovation allows for increased database size and transaction rate by enabling access to all nodes during appending. The technology also includes error detection mechanisms for data integrity. GlobalData’s report on Unisys gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Unisys, MITM attack solutions was a key innovation area identified from patents. Unisys's grant share as of April 2024 was 81%. Grant share is based on the ratio of number of grants to total number of patents.

Method for building and appending data structures in multi-host environment

Source: United States Patent and Trademark Office (USPTO). Credit: Unisys Corp

A recently granted patent (Publication Number: US11899640B2) discloses a processor-based method for building and appending data structures in a multi-host environment. The method involves creating and storing data in a first data structure with multiple hierarchical levels, allowing a search while simultaneously creating a second data structure. Upon receiving a command to append the second structure to the first, a lock is created for all hosts, updating the root and leaf nodes, and sending copies to other hosts. This innovative approach aims to increase database size and transaction rate by enabling multi-host access to all nodes during the appending process. Additionally, the method includes error-checking mechanisms to ensure data integrity.

The patent also includes a computer program product implementing the method, with instructions for creating, storing, and appending data structures in a multi-host environment. The program product follows a similar process as the method, including steps for updating nodes, placing locks, and preventing concurrent updates to maintain data consistency. By utilizing B+ tree structures and optimizing memory usage, the program product aims to enhance the efficiency and scalability of data management in a multi-host environment. Overall, this patent introduces a novel approach to data structure management that can potentially improve performance and reliability in complex computing environments.

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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.