Service Flow Grouping for Transmission Quality Detection
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Solution Overview
Problem
Current In-situ Flow Information Telemetry (IFIT) technology faces challenges in large-scale transmission quality detection due to high reporting pressure on network devices and processing pressure on controllers, making it difficult to apply in scenarios requiring granular detection of multiple service flows identified by 5-tuple information.
Innovation Solution
The proposed solution involves detecting transmission quality at the granularity of a target service flow, where a service packet meets specific conditions such as being transmitted through a target network, on a target path, received through a target port, or having a target priority, allowing multiple service flows to be considered as one service flow group, thereby reducing statistics collection and reporting pressure on network devices and processing pressure on controllers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transmission quality detection is performed at the granularity of service flow identified by 5-tuple information, then detection precision is improved, but device complexity and processing pressure increase significantly
Solution Approach 1:
The patent merges multiple service flows identified by 5-tuple information into a single service flow group for detection purposes. Instead of treating each 5-tuple flow separately, the system aggregates them into groups that share common detection characteristics, thereby reducing the number of individual detection instances while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The patent introduces a universal detection mechanism that can handle multiple service flow groups through a single unified process. The ingress device performs detection operations that apply to all service flows within a group simultaneously, making the detection system more efficient and scalable without requiring separate handling for each individual flow.
2Measurement precision
If transmission quality detection is performed at the granularity of service flow identified by 5-tuple information, then detection precision is improved, but reporting pressure on network devices increases
Solution Approach 1:
The patent combines multiple service flows into service flow groups, which reduces the total number of reporting instances. Instead of each individual 5-tuple flow generating separate reports, the aggregated groups produce consolidated reporting data, thereby reducing the quantity of reporting traffic while maintaining detection accuracy for the grouped flows.
3Measurement precision
If transmission quality detection is performed at the granularity of service flow identified by 5-tuple information, then detection precision is improved, but processing pressure on controller increases
Solution Approach 1:
The patent merges multiple detection results into service flow groups, which reduces the processing load on the controller. Instead of processing individual 5-tuple flow data separately, the controller processes aggregated data from service flow groups, thereby reducing the total processing power required while maintaining comprehensive detection coverage.
Solution Approach 2:
The patent implements a universal processing mechanism that handles multiple service flow groups through a single unified algorithm. The controller uses a general-purpose processing function that can accommodate any service flow group configuration, eliminating the need for specialized processing for each flow type and reducing overall processing power requirements.
4Adaptability or versatility
If current IFIT technology is applied to large-scale transmission quality detection scenarios, then detection coverage is improved, but device complexity and processing pressure make application difficult
Solution Approach 1:
The patent applies the merging principle at multiple levels: merging service flows into groups for detection, merging detection results for reporting, and merging processing operations for controller handling. This multi-level aggregation enables the system to scale to large-scale scenarios while keeping individual device and controller complexity manageable through hierarchical organization of detection tasks.
Data Source
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AI summary
This application relates to the field of communication technologies, and discloses a transmission quality detection method, apparatus, and system, and a storage medium. An ingress device determines, from a received service packet, a service packet belonging to a target service flow, obtains transmission quality information of the target service flow based on a detection packet belonging to the target service flow, and reports a flow identifier of the target service flow and the transmission quality information of the target service flow to a controller. The controller determines transmission quality of the target service flow based on the flow identifier of the target service flow and the transmission quality information of the target service flow. The detection packet is at least one service packet belonging to the target service flow, and the service packet belonging to the target service flow meets any one or a combination of a plurality of the following conditions: the service packet is transmitted through a target transmission network, the service packet is transmitted on a target transmission path, the service packet is received through a target port of the ingress device, the service packet is transmitted through an egress device, and the service packet has a target priority. This application is applicable to a large-scale transmission quality detection scenario for service flows.