Network Device QoS Parameter Segmentation for Data Flow Types
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Solution Overview
Problem
Managing different Quality of Service (QoS) treatments for various data flows in network devices is cumbersome and difficult, as existing systems struggle to efficiently allocate network resources to meet the specific requirements of multiple data flow types.
Innovation Solution
Network devices store multiple parameters for QoS and use these to identify and apply distinct QoS treatments to different data flows, facilitating the establishment of optical network channels and ensuring that each data flow receives the appropriate treatment based on its type, thereby optimizing network resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple QoS parameters are stored and applied to different data flow types in network devices, then network resource allocation efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments QoS treatment by dividing data flows into different types (e.g., voice, video, data) and applying distinct QoS parameters to each segment. This allows efficient resource allocation for each flow type while managing complexity through structured classification and dedicated parameter sets for each segment.
Solution Approach 2:
The patent implements local quality by assigning different QoS parameters to different data flow types at each network device. Each flow type receives customized QoS treatment tailored to its specific requirements, enabling optimized resource allocation while maintaining manageable complexity through localized parameter application.
2Manufacturing precision
If QoS information is provided to multiple network devices, then data flow treatment accuracy is improved, but management difficulty increases
Solution Approach 1:
The patent establishes a universal QoS parameter set that can be applied across multiple network devices. This standardized approach enables accurate data flow treatment consistency across the network while simplifying management through unified parameter definitions and deployment procedures that work across different devices.
Solution Approach 2:
The patent manages QoS information through parameter changes by defining specific QoS parameters (bandwidth, latency, jitter) that can be dynamically adjusted for different flow types. This structured parameter approach maintains treatment accuracy while easing management through clear parameter definitions and change management procedures.
3Reliability
If different QoS treatments are applied to different data flow types, then service level agreement fulfillment is improved, but network channel establishment complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining QoS parameters and treatment policies for different data flow types before network channel establishment. This allows SLA fulfillment to be built into the channel setup process itself, reducing complexity during establishment while ensuring reliable QoS delivery through advance parameter configuration.
Data Source
AI summary
A network device is configured to store parameters identifying a respective quality of service (QoS) to apply to corresponding different types of data flows; initiate establishment of a network channel between a source device and a destination device through an optical network; receive first and second data flows destined for the destination device, where the first data flow and the second data flow may have first and second data flow types; identify a first QoS and a different second QoS to apply to the first and second data flows based on the first and second data flow types and based on the parameters; apply the first QoS to the first data flow and the second QoS to the second data flow to form processed first and second data flows; and transmit, via the network channel, the processed first and second data flows towards the destination device.