BMC Software has been granted a patent for systems and techniques that determine causal associations between events in an IT landscape. The technology automatically identifies active occurrences, analyzes effects, predicts future events, and prevents undesired outcomes in complex interconnected systems. The patent covers a computer program product that determines events, identifies causal event pairs, generates candidate event clusters, and selects an event cluster based on cluster scores to identify a situation within the network. GlobalData’s report on BMC Software gives a 360-degree view of the company including its patenting strategy. Buy the report here.
Smarter leaders trust GlobalData
According to GlobalData’s company profile on BMC Software, hybrid cloud management was a key innovation area identified from patents. BMC Software's grant share as of September 2023 was 82%. Grant share is based on the ratio of number of grants to total number of patents.
Causal event clustering and situation identification in it systems
A recently granted patent (Publication Number: US11734101B2) describes a computer program product that can identify situations within a network by analyzing causal event pairs and generating a cluster tree of candidate event clusters. The computer program product is embodied on a non-transitory computer-readable storage medium and includes instructions that, when executed by a computing device, perform the following functions:
1. Determine a plurality of events within a network.
2. Determine causal event pairs from the plurality of events, where each pair is connected by a directional edge with a causal score indicating the strength of causation.
3. Generate a cluster tree of candidate event clusters, where each cluster includes at least one causal event pair and has a cluster score defined by the included pairs.
4. Select an event cluster from the candidate event clusters based on the cluster scores to identify a situation within the network.
The patent also includes additional instructions that enable the computing device to dynamically update the plurality of events as new events are determined based on monitored metrics within the network. Furthermore, the computing device can determine pairwise combinations of the events to obtain event pairs and calculate the directional edge and causal score for each pair to obtain the causal event pairs.
The computer program product can also determine a multi-layer small world graph from the plurality of events and determine the causal event pairs from this graph. Additionally, the instructions enable the computing device to determine the directional edge and causality score of each causal event pair using a probabilistic function based on a topological graph or a knowledge graph characterizing the network.
Furthermore, the computer program product can generate an arborescence graph from the causal event pairs and generate the cluster tree from this graph. The arborescence graph can be generated as a minimum arborescence graph based on topological distances between events of each causal event pair, where each topological distance is determined from the causal score of the corresponding pair.
The patent also describes a method and a system that implement the same functionalities as the computer program product. The method includes determining events, determining causal event pairs, generating a cluster tree, and selecting an event cluster. The system includes at least one memory and at least one processor that execute the instructions to perform the same functions.
Overall, this patent presents a computer program product, method, and system for identifying situations within a network by analyzing causal event pairs and generating a cluster tree of candidate event clusters.
To know more about GlobalData’s detailed insights on BMC Software, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
