Session Border Controller Probe for Unified Communications Root Cause Analysis

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Solution Overview

Problem

Unified communications performance degradation due to issues like jitter, packet loss, and network delay leads to poor call quality, making it difficult to identify the root cause effectively.

Innovation Solution

An agentless probe at a session border controller actively collects network and call performance metrics to determine the root cause of degradation by analyzing metrics such as endpoint network response time, signaling response time, and jitter, identifying the affected portion of the infrastructure without requiring multiple health statistics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multiple health statistics and metrics are collected to identify root cause of performance degradation, then measurement precision is improved, but device complexity increases

Engineering Contradiction:
Improveroot cause identification accuracyVSAvoidmonitoring entity overhead
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts only the most critical metrics (jitter, packet loss, delay) needed for root cause identification, rather than collecting all possible health statistics. This selective extraction reduces monitoring overhead while maintaining sufficient precision for identifying performance degradation causes.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments the network monitoring into distinct functional components: active probes at network elements, metrics collection at session border controllers, and analysis at monitoring entities. This segmentation allows each component to handle only necessary data, reducing overall system complexity.

Inventive Principle:
Principle #1Segmentation

2Reliability

If comprehensive performance metrics are monitored across the network, then reliability of performance assessment is improved, but loss of time for data collection and analysis increases

Engineering Contradiction:
Improveperformance degradation detection accuracyVSAvoidroot cause analysis time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements active probes that continuously pre-collect performance metrics (jitter, packet loss, delay) at network elements before degradation occurs. This preliminary data collection ensures reliable assessment is ready when needed, eliminating time delays associated with retrospective analysis.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent introduces session border controllers as intermediaries that aggregate and pre-process performance metrics from multiple sources. This intermediary layer reduces the time required for comprehensive analysis by preparing consolidated data in advance, enabling faster root cause identification when degradation is detected.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10924328B2Root cause analysis for unified communications performance issues
Publication Date: 2021.02.16 SAUDI ARABIAN OIL CO
  • US10924328B2 patent drawing
  • US10924328B2 patent drawing
  • US10924328B2 patent drawing

AI summary

Methods, systems, and computer-readable medium to perform operations comprising determining a plurality of metrics of data trafficked through a session border controller (SBC), the SBC in communication with an endpoint device and positioned along a data transmission connection between a network and a IP multi-media subsystem (IMS); detecting a jitter performance metric of the data; in response to detecting the jitter, determining that an endpoint network response time (NRT) is degraded; in response to determining that the endpoint NRT is degraded, determining that an endpoint signaling response time (ART) is degraded; and in response to determining that the endpoint ART is degraded, identifying the endpoint device as a root cause of the jitter performance metric of the data.