LAS Traffic Mapping Logic for QoS Ceiling Enforcement
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Solution Overview
Problem
Conventional communication networks are limited by their maximum DSCP values, which restrict the performance of Low Latency, Low Loss, and Scalable throughput (LAS) systems and impact the coherency of LAS treatment across devices.
Innovation Solution
The implementation of a traffic mapping logic that identifies LAS data flows, determines initial and maximum QoS values, and maps data packets accordingly to ensure seamless integration of LAS treatment into Quality of Service (QoS) policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional communication networks use maximum DSCP values to manage traffic, then QoS policies can be enforced, but LAS performance is restricted and coherency of LAS treatment is impacted
Solution Approach 1:
The patent introduces a new dimension to QoS management by mapping LAS traffic to multiple QoS parameters simultaneously (DSCP, UP, AC) rather than relying on a single maximum DSCP value. This multi-dimensional approach enables consistent LAS treatment across different network devices while maintaining performance capabilities beyond conventional single-parameter limitations.
Solution Approach 2:
The patent changes the parameter representation by establishing a mapping between LAS parameters and multiple QoS parameters (DSCP, UP, AC). This parameter transformation allows the system to overcome the limitations of maximum DSCP values and achieve both high LAS performance and coherent treatment across the network.
2Productivity
If DSCP values are used to classify and differentiate traffic types, then QoS policies can be implemented, but the maximum DSCP value limits the achievable LAS performance
Solution Approach 1:
The patent makes the QoS mechanism universal by establishing a mapping that works across multiple parameter types (DSCP, UP, AC). This multi-functional approach allows the same LAS traffic classification to be enforced consistently across different network devices and protocols, achieving high throughput without requiring device-specific complex policies.
Solution Approach 2:
The patent introduces an intermediary mapping mechanism that translates LAS traffic characteristics into multiple QoS parameters. This intermediary layer simplifies the overall system by providing a unified approach to traffic management that works across different devices, reducing the complexity of implementing device-specific QoS policies.
3Reliability
If traffic policing and shaping are used to enforce QoS policies, then data packet flow can be controlled, but latency increases for prioritized traffic
Solution Approach 1:
The patent applies preliminary action by pre-establishing the mapping between LAS traffic and multiple QoS parameters before traffic processing begins. This allows network devices to immediately recognize and prioritize LAS traffic using multiple simultaneous parameters, eliminating the need for complex real-time policing and shaping operations that would increase latency.
Data Source
AI summary
Devices, networks, systems, methods, and processes for detecting and mapping Low Latency, Low Loss, and Scalable throughput (LAS) traffic are described herein. A device may determine that a data flow is LAS. The device can determine an initial Quality of Service (QOS) value associated with the data flow. The device may determine one or more network policies associated with one or more QoS levels. The device can determine a QoS ceiling value associated with a highest QoS level of the one or more QoS levels. The device may mark the data flow with the QoS ceiling value if the initial QoS value is lower than the QoS ceiling value, thereby mapping the data flow to the highest QoS level. The device can also maintain the initial QOS value if the initial QoS value is greater than the QoS ceiling value, as an exception to the one or more network policies.