International Business Machines had 139 patents in big data during Q4 2023. IBM’s patents in Q4 2023 cover a range of technologies including resource allocation in data storage, energy-aware workload placement, cybersecurity incident mitigation, logistics optimization for product distribution, and composing machine learning models for complex data sources. These patents aim to improve efficiency, security, and decision-making processes in various technological environments. 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 big data as a theme is 68% 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 the allocation accordingly. The method involves using object storage daemons (OSDs) in a controlled replication under scalable hashing (CRUSH) group and assigning a vertical pod autoscaler (VPA) to optimize resources within the management group based on resource utilization.
The patent further details the apparatus and non-transitory computer-readable storage medium for implementing the resource allocation management method. It includes instructions for identifying storage nodes, monitoring resource utilization, determining scaling factors, and adjusting resource allocation. The apparatus and storage medium also incorporate the use of OSDs in a CRUSH group, VPA for resource optimization, and considerations for various resource allocation parameters like bandwidth, computational capacity, memory resources, and communication bandwidth. Overall, the patent provides a structured approach to efficiently manage resource allocation in a data storage environment based on monitored resource utilization and scaling factors.
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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.
