Voice Traffic Flow Blocking Detection via KPI Event Correlation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication networks face issues with incompatibility and downtime during device upgrades or license renewals, leading to degraded performance and audio quality in voice-related services like VoLTE, due to unidentifiable blocked traffic flows.
Innovation Solution
A system utilizing a service assurance platform that monitors key performance indicators (KPIs) and correlates internal and external events to identify and rectify blocked traffic flows, employing a self-regulating process to improve traffic flow management and audio quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If device upgrades or license renewals are performed in communication networks, then system functionality is improved, but traffic flows become blocked and service performance degrades
Solution Approach 1:
The system performs preliminary actions by proactively identifying blocked traffic flows before they cause service degradation. The service assurance platform continuously monitors KPI metrics and detects potential blocking issues, allowing the system to take corrective actions before actual service performance deteriorates during device upgrades or license renewals.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring KPI metrics related to traffic flows and using this information to identify blocked flows. The platform correlates internal network events with external performance data, creating a closed-loop feedback system that automatically detects and reports blocked traffic flows, enabling timely remediation to maintain service performance during system upgrades.
2Device complexity
If traffic flow blocking occurs during network operations, then system complexity is reduced, but audio quality and call reliability deteriorate
Solution Approach 1:
The service assurance platform acts as an intermediary between network traffic flows and the blocking sources. It introduces a monitoring layer that observes KPI metrics, identifies blocked flows, and provides information about the blocking conditions without directly interfering with the traffic flow itself. This intermediary approach allows the system to detect and report blocking issues while maintaining the simplicity of the underlying traffic management infrastructure.
3Ease of operation
If blocked traffic flows are not identified, then system operation is simple, but service availability and performance deteriorate
Solution Approach 1:
The system implements self-service by automatically monitoring and identifying blocked traffic flows without requiring manual intervention. The service assurance platform continuously collects KPI metrics, correlates events, and autonomously detects blocking conditions, freeing operators from the need to manually investigate service issues while ensuring service availability is maintained through automated detection and reporting.
Data Source
AI summary
In some implementations, a network device may receive a key performance indicator (KPI) metric associated with a media resource function, wherein the media resource function is associated with a virtualized telephone application service. The network device may compare the KPI metric to a threshold. The network device may generate an internal event based on the KPI metric satisfying the threshold. The network device may correlate the internal event and an external event, wherein the external event is based on external system formulated data, and correlation results include an indication of non-matching data or matched data between the internal event and the external event. The network device may identify a blocked voice traffic flow based on the correlation results. The network device may transmit a notification that indicates the blocked voice traffic flow, wherein the notification includes a recommendation to resolve the blocked voice traffic flow.