Flexible Traffic Detection Flag Placement in Network Packets
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Solution Overview
Problem
Current traffic detection methods in campus networks are limited in providing comprehensive detection information, as they primarily focus on loss and delay measurements, and are restricted by the need for a detection header in specific packet positions, limiting their application scope and richness of detection data.
Innovation Solution
A traffic detection method that involves adding a detection flag and indication information to packets, allowing the position of the detection information to be flexibly indicated within the packet, such as in the header, payload, or between the header and payload, enabling more extensive and flexible performance detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a detection header is added to a fixed position of the packet, then detection information can be provided, but the application scope is limited to specific encapsulation protocols
Solution Approach 1:
The patent applies the dynamics principle by making the position of detection indication information flexible rather than fixed. The detection flag indicates different positions (header, payload, or between header and payload) dynamically, allowing the detection information to be placed adaptively according to different packet types and protocols, thereby expanding application scope without increasing structural complexity
Solution Approach 2:
The patent implements universality by designing a detection mechanism that can work across multiple encapsulation protocols (MPLS, IPV6, and others). The detection flag and indication information form a universal detection framework that can be applied to various packet structures, making the detection system multi-functional and protocol-agnostic
2Measurement precision
If detection information is added to packets, then detection capability is improved, but the position for adding detection header is limited
Solution Approach 1:
The patent uses the dynamics principle to enable flexible positioning of detection indication information within the packet. Instead of being constrained to a fixed position, the detection information can be dynamically placed in the header, payload, or intermediate position based on the detection flag, thereby maintaining measurement precision while achieving position flexibility
Solution Approach 2:
The patent applies segmentation by dividing the packet into distinct segments (header, payload, and intermediate region) where detection information can be placed. The detection flag specifies which segment contains the detection indication information, allowing precise control over information placement while maintaining overall packet integrity
3Device complexity
If only loss and delay measurement information is detected, then detection process is simple, but detection information is not rich
Solution Approach 1:
The patent implements multi-functionality by enabling the detection system to collect various types of performance information beyond just loss and delay. The detection indication information can include packet quantity, timestamp, priority, reverse flow, and packet loss cause, making the detection process multi-functional and information-rich while maintaining a relatively simple overall framework
Data Source
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AI summary
A traffic detection method, apparatus, and system are provided. The method includes: A first network device obtains a packet, where the packet is any packet of the traffic. The first network device adds a detection flag and detection indication information to the packet to update the packet, where the detection flag is used to indicate a position of the detection indication information, the detection indication information includes a first flag, and the first flag is used to indicate whether the traffic is to-be-detected traffic. The first network device sends an updated packet to a second network device. According to this method, traffic performance is detected, and flexibility and extensiveness of traffic performance detection are improved.