Network Alarm Threshold Determination via Asynchronous Simulation
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Solution Overview
Problem
Determining a reasonable alarm threshold in network management systems is challenging due to varying data flows through network nodes, requiring extensive manual effort and experience, which is time-consuming and inefficient.
Innovation Solution
A system and method for quickly determining a reasonable alarm threshold using an alarm simulation template with a Web presentation component, generator, task component, and storage component, which involves setting template types and parameters, generating and executing alarm simulation tasks, and providing real-time statistical data for visual representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual observation and statistics are used to determine alarm thresholds, then the accuracy of threshold determination is improved, but the time consumption and manual effort increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically collecting and analyzing historical network data to generate recommended alarm thresholds before manual review is needed. The simulation component pre-calculates threshold values based on observed traffic patterns, so when threshold determination is needed, the work is already substantially complete, requiring only minimal manual verification rather than extensive manual observation and statistics gathering
Solution Approach 2:
The system enables self-service by automatically determining alarm thresholds without requiring manual observation and statistical analysis. The network management system independently collects historical data, analyzes traffic patterns, generates threshold recommendations, and updates alarm configurations automatically, freeing operators from the time-consuming manual process while maintaining determination accuracy
2Reliability
If manual observation for extended periods is conducted to obtain reliable data, then the reliability of alarm threshold determination is improved, but the productivity decreases
Solution Approach 1:
The system replaces the mechanical manual process of extended observation and statistics gathering with automated electronic data collection and analysis. The simulation component automatically monitors network traffic, processes historical data, and generates threshold recommendations through computerized algorithms, eliminating the need for manual extended observation while maintaining or improving both reliability and productivity
Solution Approach 2:
The system changes the parameter of data collection duration from extended manual observation periods to optimized automated analysis windows. By using historical data from defined time periods and applying statistical algorithms, the system achieves reliable threshold determination in much shorter effective timeframes, significantly improving productivity while maintaining reliability through rigorous automated analysis
3Measurement precision
If experienced operators perform threshold determination, then the quality of alarm threshold is improved, but the device complexity and operational difficulty increase
Solution Approach 1:
The system performs the complex task of alarm threshold determination autonomously without requiring experienced operators to manually analyze traffic patterns and calculate thresholds. The simulation component automatically executes the analysis that previously required expert knowledge, embedding the expertise within the system itself and eliminating the need for operators to possess specialized skills for this specific task
Solution Approach 2:
The system introduces an intermediary simulation component that acts as a bridge between raw network data and alarm threshold configuration. This intermediary automatically processes historical data, applies analysis algorithms, and generates threshold recommendations, simplifying the overall process by isolating the complexity within a dedicated automated module rather than requiring complex manual procedures
Data Source
AI summary
The present invention provides a system and method for quickly determining a reasonable alarm threshold of a network, including: a presentation component for setting the template type and template parameter of an alarm simulation template, a generator for generating an alarm simulation task according to the alarm simulation template, a task component for executing the alarm simulation task to generate a data result set, and a storage component for storing and providing the data result set for the presentation component. The present invention adopts the asynchronous calculation, and adopts fragment manner during data statistics; the time period is divided into time slices and processed in parallel, and then aggregated, to improve the data processing rate; the similar alarm points are merged, thereby accurately obtaining the actual number of alarms and presenting in an incremental mode.