Automatic QoS Queuing Selection for CPE Devices

The patent implements dynamic switching between software and hardware queuing mechanisms based on upstream rate conditions. The system automatically transitions from software-based IPQoS to hardware-based queuing when the upstream rate exceeds a threshold, and vice versa. This dynamic adaptation resolves the contradiction by enabling flexible QoS management at low rates while reducing CPU consumption at high rates through automatic mechanism selection.

The patent changes the operational parameter (queuing mechanism type) based on the upstream rate parameter. By monitoring the upstream rate and adjusting the queuing mechanism accordingly (software vs. hardware), the system optimizes the balance between QoS flexibility and CPU resource usage. This parameter change approach allows the system to adapt to different bandwidth conditions and resolve the resource consumption contradiction.

The patent implements self-service through automatic detection and selection of the appropriate queuing mechanism based on upstream rate. The system autonomously monitors its own performance parameters and decides whether to use software or hardware queuing without external intervention. This self-service approach manages the complexity by automating the decision-making process, allowing the system to handle both low and high rate scenarios appropriately.

The system dynamically adjusts its configuration based on real-time upstream rate conditions. By implementing dynamic switching between different queuing mechanisms, the patent reduces the effective complexity of managing multiple fixed configurations. The dynamic nature allows a single unified system to handle diverse conditions that would otherwise require multiple specialized systems.

The patent eliminates the need for manual monitoring and configuration by implementing self-service automation. The system automatically monitors upstream rate, compares it against defined thresholds, and selects the appropriate queuing mechanism without human intervention. This self-service approach maintains reliable QoS configuration optimality while dramatically improving ease of operation, as no manual configuration management is required.

The patent implements feedback mechanisms where the system continuously monitors upstream rate and adjusts its behavior accordingly. This feedback loop ensures that the QoS configuration remains optimal without manual intervention. The automatic feedback-driven adjustment resolves the contradiction by maintaining configuration optimality while eliminating the operational burden of manual monitoring and reconfiguration.