State-Based Admission Control for VoIP Traffic
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Solution Overview
Problem
Existing methods for measurement-based admission control in IP-based networks, such as VoIP traffic, face challenges in minimizing active measurement traffic volume and post-dial delays while ensuring fresh performance measurement data is always available, particularly in large networks.
Innovation Solution
A state-based admission control method that configures specific control states (passive, active-on-demand, and active-continual) based on VoIP traffic intensity, using historical activity data to determine when to transition between states for performance measurement and decision-making, thereby reducing test traffic and post-dial delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If active measurements are performed continually to ensure fresh performance data is always available, then measurement precision is improved, but network capacity consumption increases excessively
Solution Approach 1:
The patent implements dynamic adjustment of measurement intensity based on network conditions and traffic patterns. The system transitions between different measurement states (passive, active-on-demand, active-continual) depending on whether VoIP traffic is detected, thereby adapting the measurement approach to current network utilization levels and avoiding excessive capacity consumption during low-traffic periods while ensuring fresh data availability when needed
Solution Approach 2:
The system changes the parameter of measurement activity from continuous to event-driven based on the presence or absence of VoIP traffic. When no VoIP traffic is detected, the system switches to passive measurement mode with minimal network load; when VoIP traffic is detected, it transitions to active measurement modes to ensure fresh performance data, thereby controlling the volume of measurement traffic while maintaining data freshness
2Quantity of substance
If active measurements are performed on-demand at session setup time, then network capacity is preserved, but post-dial delay increases and measurement accuracy deteriorates
Solution Approach 1:
The system performs preliminary passive measurements continuously in the background without consuming significant network capacity. This preliminary action collects performance data over time so that when a VoIP session needs to be set up, the admission control decision can be made quickly using pre-collected data, thereby reducing post-dial delay while maintaining network capacity availability
Solution Approach 2:
The system implements periodic passive measurements that occur at regular intervals in the background. These periodic measurements maintain up-to-date performance knowledge without requiring excessive network capacity, and when a session setup occurs, the most recent periodic measurement results are used for rapid admission control decisions, balancing accuracy and timing requirements
3Measurement precision
If the duration of active measurement burst is extended to improve accuracy, then measurement precision is improved, but post-dial delay budget is exceeded
Solution Approach 1:
The system performs the measurement action in advance during passive measurement periods before the session setup occurs. By having performance data pre-collected through passive monitoring, the system eliminates the need for extended active measurement bursts at session setup time, thereby achieving accurate measurements without exceeding the post-dial delay budget
Solution Approach 2:
The system uses copies of performance data collected during passive measurement periods to make admission control decisions. Instead of performing new active measurements at session setup time (which would cause delay), the system utilizes copied performance metrics from recent passive measurements, achieving the same decision-making accuracy without the time penalty of extended measurement bursts
Data Source
AI summary
A state-based admission control method for networks carrying inelastic applications traffic such as exemplary VoIP traffic. The method analyzes the history of real-time VoIP activities in a network to determine a corresponding control state and applies performance measurement techniques to form the admit/reject decisions for placed VoIP calls.