Adaptive Service Intelligence for Network Performance Visualization
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Solution Overview
Problem
Complex communication networks pose challenges in detecting and troubleshooting performance issues due to their increasing complexity, with some issues being self-corrected before operators are aware and others being difficult to parse from the vast amount of collected data.
Innovation Solution
The implementation of Adaptive Service Intelligence (ASI) data sets and service relationship models to analyze performance metrics, generate graphical user interfaces, and provide an aggregated view of service member performance, allowing for efficient visualization and troubleshooting of network service analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network complexity increases to support more services, then service capability improves, but performance issue detection becomes more difficult
Solution Approach 1:
The patent introduces service relationship models as intermediary structures that mediate between complex network data and performance issues. These models organize service members and their relationships, enabling operators to trace performance problems through structured visual representations rather than navigating raw complex network data directly.
Solution Approach 2:
The patent segments the complex network into discrete service members and relationships within service relationship models. By dividing the network complexity into manageable components (service members, relationships, performance metrics), the system enables targeted analysis of specific performance issues without being overwhelmed by overall network complexity.
2Reliability
If data collection is comprehensive to capture all network events, then monitoring completeness improves, but data parsing becomes too difficult
Solution Approach 1:
The patent extracts only the essential performance metrics and relationship data needed for analysis from the comprehensive collected network data. By taking out and focusing on specific performance metrics associated with service members and relationships, the system maintains monitoring completeness while reducing parsing complexity to manageable levels.
3Loss of time
If network monitoring is continuous to detect issues early, then issue detection timeliness improves, but self-corrected issues are still missed
Solution Approach 1:
The patent implements preliminary action by continuously monitoring service performance metrics and maintaining service relationship models that capture performance history. This continuous monitoring with structured modeling enables the system to detect and record self-corrected issues before operators take action, preserving information about transient problems that would otherwise be lost.
Data Source
AI summary
An Adaptive Service Intelligence (ASI) data set related to a monitored service is received from a plurality of interfaces. A service relationship model associated with a monitored service is determined. The service relationship model includes one or more service members. Performance of each of the service members is analyzed using the received ASI data set. Performance metrics are identified for each of the service members. The identified performance metrics are indicative of corresponding service member's performance. A graphical user interface displaying a graphical representation of the identified performance metrics is generated based on the analysis. The graphical representation provides an aggregated view indicative of performance of the service members.