18068677. EVENT PATTERN PREDICTION simplified abstract (International Business Machines Corporation)
Contents
EVENT PATTERN PREDICTION
Organization Name
International Business Machines Corporation
Inventor(s)
Jonathan Ian Settle of Dursley (GB)
Fred Harald Klein of Berlin (DE)
Zane Clayton Bray of London (GB)
Isabell Sippli of Metzingen (DE)
EVENT PATTERN PREDICTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18068677 titled 'EVENT PATTERN PREDICTION
Simplified Explanation: The patent application discusses predicting the formation of event groups in complex IT environments based on historical patterns and user-defined thresholds.
Key Features and Innovation:
- Prediction of event patterns based on historical data and user-defined thresholds.
- Monitoring of incoming events to alert operators or SREs.
- Automatic formation of event groups triggered by received events.
- Placeholder events in event groups replaced by newly received events.
Potential Applications: This technology can be applied in various industries such as finance, healthcare, and e-commerce to monitor and manage incoming events effectively.
Problems Solved: This technology addresses the challenge of efficiently monitoring and managing a large volume of events in complex IT environments.
Benefits:
- Improved event monitoring and management.
- Early detection of potential issues.
- Enhanced operational efficiency.
Commercial Applications: The technology can be used in IT service management tools, network monitoring systems, and cybersecurity platforms to streamline event handling processes and improve overall system reliability.
Prior Art: Prior art related to this technology may include research papers on event prediction algorithms and event correlation techniques in IT environments.
Frequently Updated Research: Stay updated on the latest research in event prediction algorithms and event management techniques to enhance the capabilities of this technology.
Questions about Event Group Formation: 1. How does the technology determine the threshold for predicting event patterns? 2. What are the key factors considered in forming event groups automatically?
Original Abstract Submitted
Predicting the formation of event groups in complex and enterprise-related information technology (IT) environments is provided. In some instances, an event pattern is predicted based upon events arriving within a duration that matches a historical pattern for an event and surpasses a user-defined threshold of events that are received. This predicted event pattern is used to monitor incoming events in order to alert an operator or site reliability engineer (SRE) that a certain percentage of events from the predicted pattern are received. In another instance, receiving an event automatically triggers the formation of an event group, with the event group having information relating to the received event and a series of placeholder events. As more events are received, these newly received events individually replace the placeholder events in the event group.
