International Business Machines had 121 patents in cloud during Q1 2024. IBM’s patents in Q1 2024 focus on optimizing test datasets for resource allocation in cloud computing environments, scaling resources in a Database as a Service cluster, executing serverless workloads on transient infrastructure, and enabling cross-domain data access services. These innovations aim to improve efficiency, performance, and accessibility in cloud computing and data processing systems. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

International Business Machines grant share with cloud as a theme is 57% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Generating test data for application performance (Patent ID: US20240104009A9)

The patent filed by IBM focuses on a computer-implemented method and system for extracting test datasets to enhance testing and resource optimization. The approach involves generating an impact scoring table of job transformations based on source code analysis, creating data extraction rules, extracting a test dataset, evaluating against user-defined thresholds, and outputting the representative test dataset through a user interface. The method also includes executing a test run on a full dataset, identifying bottlenecks, generating a recommendation report on potential issues, retrieving source datasets, and receiving user requirements for customization.

The computer system and program product described in the patent provide detailed instructions for executing the method, including analyzing runtime metrics, source code, and data impact, retrieving necessary data from databases, and incorporating user requirements. The system is designed to automate the analysis process, identify connections between execution steps and source code, and optimize resource allocation for test runs. By leveraging an impact scoring engine and user-defined thresholds, the method aims to streamline the extraction of representative test datasets for efficient testing and resource management in distributed data processing 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.