International Business Machines had 140 patents in big data during Q2 2024. The patents filed by IBM in Q2 2024 cover a range of technologies including distributed storage system replication, automated functional safety evaluation for software packages, automatic identification of reconciliation computer tools, resource utilization monitoring for operating systems, and a data processing system with a master, central request agent, and snoopers for communicating requests subject to retry. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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International Business Machines had no grants in big data as a theme in Q2 2024.

Recent Patents

Application: Replicating storage data and metadata in separate storage layers of a distributed storage system (Patent ID: US20240211163A1)

The patent filed by IBM describes a method and system for replicating storage data and metadata in separate storage layers of a distributed storage system using separate channels. The process involves a first gateway at a first storage layer identifying a data object for replication to a second data center, accessing metadata to determine the corresponding storage data on a first storage node, and transmitting the metadata to a second gateway in the second data center via a first network. Additionally, a command is sent to the first storage node to transmit the storage data to a second storage node in the second data center via a second network. The system allows for efficient replication of data objects across different storage layers and data centers.

The patent claims detail the specific functionalities and configurations of the system, including the use of object, block, and file storage layers, different types of networks for transmission, and the role of gateways in interacting with client devices. The metadata includes a mapping of data objects to logical addresses in the second storage layer, facilitating the location of corresponding storage data. The method and system outlined in the patent aim to streamline the replication process in distributed storage systems, ensuring data consistency and availability across multiple data centers.

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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.