Autonomous QoS Provisioning via Packet Analysis
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Solution Overview
Problem
Existing network technologies struggle to autonomously provision quality of service (QoS) for terminal devices and application services without pre-configured QoS control functions, especially in time-sensitive networks.
Innovation Solution
An autonomous QoS provisioning apparatus and method that analyzes and determines QoS parameters from data packets in a network, allowing for resource reservation and dynamic QoS provisioning even when terminal devices or application services are not equipped with QoS control functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If terminal devices and application services are not equipped with QoS control functions, then device complexity is reduced and ease of manufacture is improved, but autonomous QoS provisioning capability deteriorates
Solution Approach 1:
The patent introduces a network device as an intermediary that performs QoS parameter extraction and resource reservation on behalf of terminal devices. The network device analyzes packets from terminals without QoS control functions, extracts relevant parameters, and autonomously reserves network resources, thereby enabling QoS provisioning for simple terminals while maintaining their ease of manufacture.
Solution Approach 2:
The network device provides self-service QoS provisioning by automatically extracting QoS parameters from incoming packets and autonomously requesting resource reservations from controllers. This self-service mechanism eliminates the need for terminal devices to have built-in QoS control functions, maintaining their simplicity while achieving autonomous QoS capability at the network level.
2Reliability
If QoS parameters are manually configured in terminal devices, then QoS provisioning reliability is improved, but device complexity increases and ease of operation deteriorates
Solution Approach 1:
The system enables self-service QoS provisioning where the network device automatically extracts QoS parameters from packet data and autonomously performs resource reservation. This eliminates manual configuration requirements, improving ease of operation while maintaining reliability through automated parameter extraction and validation mechanisms.
Solution Approach 2:
The network device implements feedback mechanisms by monitoring packet flows, extracting QoS parameters, and dynamically adjusting resource reservations based on actual traffic characteristics. This closed-loop feedback ensures reliable QoS provisioning without requiring manual configuration, as the system continuously adapts to changing traffic conditions.
3Adaptability or versatility
If QoS control functions are built into terminal devices, then QoS provisioning capability is improved, but device complexity and manufacturing cost increase
Solution Approach 1:
The network device serves as an intermediary that centralizes QoS control functionality. Instead of embedding QoS control functions in each terminal device, the network device performs packet analysis, parameter extraction, and resource reservation, thereby providing QoS provisioning capability to simple terminals without increasing their complexity.
Solution Approach 2:
The network device provides universal QoS provisioning services to multiple terminal devices with varying capabilities. By centralizing QoS control functions in the network infrastructure, the system can serve both simple terminals without QoS functions and advanced terminals with native QoS support, achieving multi-functionality without increasing terminal device complexity.
Data Source
AI summary
An autonomous quality of service provisioning apparatus and method are disclosed. The apparatus includes a parameter extraction unit receiving a packet transmitted from a transmitting terminal and extracting QoS parameters by analyzing the received packet; and a quality of service reservation unit configured to be associated with a controller that manages and controls resources of the network to request the controller to reserve resources corresponding to the extracted QoS parameters.