5G Network Event Stream Segmentation for Active Alarm Management
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Solution Overview
Problem
Large systems with numerous components and stakeholders face inefficiencies in identifying active problems and tracking the status of component failures due to the volume of event notifications in modern networks.
Innovation Solution
A method involving a computing system that receives event notifications, generates records in a database with correlation IDs, and updates event streams to manage alarm notifications and updates efficiently, ensuring only active alarms are maintained in a separate stream.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all event notifications are maintained in a single stream, then complete historical record is preserved, but difficulty in identifying active problems increases
Solution Approach 1:
The patent divides the single event stream into multiple specialized streams: an alarm stream for active alarms, an update stream for updates, and a cleared stream for resolved alarms. This segmentation allows each stream to serve a specific purpose, making it easier to identify active problems in the alarm stream while preserving complete history across all streams.
Solution Approach 2:
The patent introduces a stream manager as an intermediary component that receives event notifications, determines their type, and routes them to appropriate streams. This mediator automates the classification and distribution of events, reducing manual filtering effort while maintaining complete records across multiple streams.
2Loss of information
If all event notifications are displayed to stakeholders, then complete information is provided, but information overload occurs
Solution Approach 1:
The patent applies local quality by providing different information views to different stakeholders based on their needs. The alarm stream provides focused active problem information for immediate attention, while the complete event history remains available in all streams for those needing comprehensive data. This allows stakeholders to access only the information relevant to their role.
Solution Approach 2:
By segmenting events into不同类型 streams (alarm, update, cleared), the system allows stakeholders to subscribe to only the streams relevant to their needs. This reduces information overload while maintaining access to complete information when necessary.
3Adaptability or versatility
If event notifications are processed manually, then flexibility in handling is maintained, but processing efficiency decreases
Solution Approach 1:
The stream manager implements self-service by automatically receiving event notifications, determining their type through pattern matching and rule-based logic, and routing them to appropriate streams without human intervention. This automated self-service processing maintains flexibility through configurable rules while dramatically improving processing efficiency.
Solution Approach 2:
The system uses feedback mechanisms where the stream manager continuously monitors incoming events, applies classification rules, and adjusts routing decisions based on event characteristics. This automated feedback loop enables efficient processing while maintaining adaptability through rule-based decision making.
Data Source
AI summary
A method may include receiving a first event notification including a key, received via a first stream of a streaming event platform. The method may include generating a record of the first event notification in a database including a correlation ID and the key. The method may include generating an event indicating an alarm notification, based on the first event notification in a second stream. The method may include receiving a second event notification including the key, received via the first stream. The method may include generating a record of the second event notification in the database including the correlation ID and the key. The method may include determining that the second event notification is related to the first event notification based on the correlation ID and the key. The method may include generating an event indicating an update notification based on the second event notification in the second stream.