Per-Queue Network Measurement Mapping for SLA Traffic Classes
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Solution Overview
Problem
Existing communication networks lack effective methods to understand and map per-queue performance metrics to service-level agreement classes, leading to inconsistent quality of service for different traffic types.
Innovation Solution
Implementing techniques to measure and map per-queue network performance metrics, such as loss, latency, and jitter, to specific service-level agreement classes using differentiated services code points and local performance measurements, allowing for improved quality of experience by selecting optimal SLA paths for application traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If per-queue performance measurements are implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments performance measurement at the queue level, measuring loss, latency, and jitter for each queue independently. This segmentation enables precise per-queue metrics while managing complexity through structured measurement domains (WAN performance, local performance, combined performance) that can be mapped to SLA classes systematically.
Solution Approach 2:
The patent introduces performance measurements as intermediary data that bridges the gap between queue-level operations and SLA-class requirements. These measurements act as mediators that can be combined and mapped to provide both granular queue performance insight and aggregated SLA compliance information, reducing the need for overly complex direct monitoring systems.
2Measurement precision
If multiple performance measurements are combined for WAN and local performance, then measurement precision is improved, but loss of information increases
Solution Approach 1:
The system segments performance into distinct measurable components: WAN performance measurements (for packets leaving the router) and local performance measurements (for packets within the router). This segmentation allows precise measurement of each component while maintaining the ability to combine them meaningfully without losing critical information about either WAN or local contributions to overall performance.
Solution Approach 2:
The patent applies local quality measurement by capturing performance characteristics specific to each queue's local processing (queuing delay, packet drops at the router) separately from WAN performance. This ensures that local quality issues are not masked by WAN conditions and vice versa, maintaining information integrity while enabling combined analysis.
3Adaptability or versatility
If per-queue metrics are mapped to SLA classes, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system implements universality by creating a mapping framework that can accommodate multiple SLA classes and their respective performance requirements through a single unified approach. The same per-queue measurement and combination logic applies across different SLA classes, enabling the system to adapt to various service level requirements without requiring separate specialized systems for each SLA type.
Data Source
AI summary
Techniques described herein can perform per-queue network performance measurement mapping, in which per-queue network performance measurements are determined and then mapped back to service level agreement (SLA) classes assigned to use the queues. Network traffic associated with an SLA class can be processed through an assigned router queue. Wide area network (WAN) as well as local performance measurements from the assigned queue can be combined to determine a combined performance measurement associated with the assigned queue. The combined performance measurement can then be mapped or otherwise associated with the SLA class. Similarly, combined performance measurements can be determined for other router queues and mapped or otherwise associated with other SLA classes.