International Business Machines had 122 patents in cloud during Q4 2023. IBM filed patents in Q4 2023 for managing resource allocation in data storage, explaining AI predictions using timeseries data, improving service routing with machine learning, cybersecurity incident mitigation with Multi-Factor Authentication, and pre-allocating page table entries for nested virtual machines and containers in SR-IOV devices. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with cloud as a theme is 63% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cloud cluster storage resource autoscaler (Patent ID: US20230418671A1)
The patent by IBM focuses on managing resource allocation in a data storage environment by identifying storage nodes on a common hierarchy level as a management group, monitoring their resource utilization, determining scaling factors for resource allocation, and adjusting allocation accordingly. The method involves utilizing object storage daemons (OSDs) in a controlled replication under scalable hashing (CRUSH) group and assigning a vertical pod autoscaler (VPA) for monitoring and optimizing resources within the management group based on resource utilization.
The apparatus described in the patent includes a processing device and memory to carry out the resource allocation management method, specifically targeting OSDs in a CRUSH group. The apparatus assigns a VPA for monitoring and optimizing resources within the management group, evaluating resource utilization and computing scaling factors based on node weights. The patent also covers adjusting resource allocation in storage nodes based on consumed resources during monitoring, focusing on aspects like data processing bandwidth, computational capacity, memory resource, input/output bandwidth, and communication bandwidth.
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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.
