Network Event Processing Agent for Data Analytics Optimization
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Solution Overview
Problem
Current data analytics in data networks faces challenges with high information density and prediction accuracy, requiring significant storage and processing resources due to the need for large amounts of raw data to identify useful network-related events, leading to financial burdens and inefficiencies.
Innovation Solution
A network events processing agent and server system that receives configuration inputs, identifies network-related events, generates reports, and performs processing operations such as data aggregation and machine learning-based analysis to provide processed reports, reducing the need for raw data storage and improving prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If large amounts of raw network data are stored to enable finding useful events, then event identification accuracy is improved, but storage resources and financial burden increase significantly
Solution Approach 1:
The patent extracts and processes only the essential event-related information from raw network data at the source, rather than storing all raw data. Event processing agents identify and extract relevant events locally, sending only processed event information to the database, thereby reducing storage requirements while maintaining event identification accuracy
Solution Approach 2:
The patent performs preliminary event identification and processing at the data source before data is stored or transmitted. Event processing agents pre-process the data by identifying events of interest and extracting relevant information in advance, so that when data is stored, it is already in a processed, event-focused format that requires less storage space
2Measurement precision
If large amounts of historical data are stored to improve events prediction accuracy, then prediction accuracy is improved, but processing resources and complexity increase
Solution Approach 1:
The patent extracts only the essential event characteristics and relevant historical event information needed for prediction, rather than processing all raw historical data. The system identifies and extracts key event patterns and features, reducing the complexity of data processing while maintaining prediction accuracy
Solution Approach 2:
The patent performs preliminary processing of historical data to extract event patterns and characteristics before prediction analysis. Event processing agents pre-process historical data to identify relevant event sequences and patterns, so that prediction algorithms work with pre-processed, structured event information rather than raw data, reducing processing complexity
3Adaptability or versatility
If raw network data is collected and stored in large databases for data analytics, then comprehensive analysis capability is improved, but information density of stored data decreases
Solution Approach 1:
The patent extracts and stores only the essential event information and characteristics from raw network data, rather than storing all raw data. Event processing agents identify and extract relevant event attributes, patterns, and features, storing only this processed information in the database, thereby maintaining high information density while preserving analysis capability
Solution Approach 2:
The patent transforms raw network data into processed event information by changing the data parameters and format. Instead of storing raw data with low information density, the system transforms data into structured event records with concentrated, high-density information about network events, maintaining versatility for analysis
Data Source
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AI summary
A network events processing agent (103-i) configured to : - receive network-related events configuration inputs from a network events server (105); - receive network-related data from a network data source (101-i), - identify one or more network-related events based on the received network-related data and the network-related events configuration inputs ; - generate a report on network-related events; - send the report to the network events server (105).