IBM’s patented method enhances processing system performance by automatically managing network paths. It involves dividing network nodes into subnets, estimating workloads from a new controlling unit, and selecting an appropriate subnet while removing those that exceed traffic thresholds, ensuring efficient resource allocation. 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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Automatic subnet selection for processing system performance optimization
The granted patent US12074760B2 outlines a computer-implemented method for integrating a target controlling unit into a processing system. This method involves several steps, starting with the reception of a request to add the target unit, which is designed to provide physical processing resources. The processing system comprises at least one processor, a storage area network (SAN), and a controller linked to the SAN. Upon receiving the request, the method divides the network nodes in the SAN into subnets based on their topology. It then estimates the workload for each subnet that would result from the addition of the target controlling unit. If any subnet is deemed unqualified—specifically, if it contains a "hot node" with traffic exceeding a predefined threshold—it is removed from consideration, leading to an updated group of subnets.
Further claims detail the process of selecting a target subnet for the new controlling unit based on workload estimations and traffic conditions. The method allows for dynamic selection of subnets, either by identifying those with lower workload estimations or by evaluating flow rates when workloads exceed certain thresholds. Additionally, the patent describes mechanisms for establishing connections between the target controlling unit and the selected subnet, including the assignment of path identifications through switch devices. The system is designed to ensure efficient resource allocation and management within the processing system, adapting to varying network conditions and workloads. Overall, the patent presents a structured approach to enhancing processing capabilities through the strategic integration of new controlling units.
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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.
