BMC Software’s patent involves systems and techniques that automatically determine causal associations between events in an IT landscape. The technology identifies active occurrences, predicts future events, and prevents undesired outcomes in complex systems. The patent covers a computer program product that executes these functions on a computing device. GlobalData’s report on BMC Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on BMC Software, Hybrid cloud mgmt was a key innovation area identified from patents. BMC Software's grant share as of February 2024 was 92%. Grant share is based on the ratio of number of grants to total number of patents.
Root cause analysis and event prediction in it landscapes
A recently granted patent (Publication Number: US11892904B2) discloses a computer program product that is stored on a non-transitory computer-readable storage medium. The product comprises instructions that, when executed by a computing device, enable the device to determine events within a network, identify causal event pairs within a multi-layer small world graph, generate an arborescence graph, create a cluster tree of candidate event clusters, and select an event cluster to identify a situation within the network. The product allows for dynamically updating events based on monitored metrics, assigning events to different layers, establishing causal connections between events, and determining the strength of causation through directional edges with causal scores.
Furthermore, the patent also describes a computer-implemented method and a system that utilize similar functionalities to determine events, identify causal event pairs, generate graphs and clusters, and select event clusters to identify network situations. The method and system involve dynamically updating events, assigning events to layers based on probability functions, establishing causal connections, and calculating rates of change for selecting event clusters. The system includes at least one memory with instructions and at least one processor to execute the instructions, enabling the system to perform the specified functions. Overall, the patent presents a comprehensive approach to analyzing events within a network, identifying causal relationships, and clustering events to understand network situations effectively.
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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.
