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A real-time perception method of traffic packet loss state for high-speed network

A high-speed network and flow technology, applied in the field of network management, can solve the problems of inability to apply UDP protocol packet loss detection, high space and time consumption, time-consuming and other problems, and achieve the effect of ensuring real-time requirements, improving efficiency, and good application prospects

Active Publication Date: 2022-06-03
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because of TCP's timeout retransmission mechanism, this method is often time-consuming, and must use all packet data, which cannot be used in the case of data sampling, resulting in high space and time consumption.
In addition, such methods cannot be applied to packet loss detection of UDP protocol

Method used

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  • A real-time perception method of traffic packet loss state for high-speed network
  • A real-time perception method of traffic packet loss state for high-speed network
  • A real-time perception method of traffic packet loss state for high-speed network

Examples

Experimental program
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Effect test

Embodiment 1

[0063] (1.4) Repeat the operations (1.1) to (1.3) until enough flow data is collected.

[0068]

[0070]

[0071] In Table 10, when the transmission protocol is the UDT protocol, the value of d is 20 bytes, and the value of d is 32 bytes when the QUIC protocol is used.

[0073] (2.3) The counter reaches the threshold, a feature extraction operation is performed, and the corresponding counter value is reset to 0. extract

[0075]

[0076]

[0078]

[0080]

[0081]

[0089]

[0092]

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Abstract

The invention proposes a high-speed network-oriented real-time perception method for packet loss state of flow, which can detect packet loss state of services transmitted using TCP and UDP in the high-speed network in real time. The specific steps of the method are divided into two scenarios: model training and model usage. During model training, traffic sampling is collected in a controllable network environment; according to different transmission protocols, set the counter of the feature Sketch to extract effective features; according to the extracted features, train the machine learning classification model, and then obtain the packet loss prediction model . When using this model, first collect samples of real traffic at traffic collection points in the network, and use feature Sketch to extract real traffic features in real time; use the packet loss prediction model to identify and classify real traffic features, and detect packet loss status in real time. The invention can be used for the network service provider to monitor the network service state in real time on the network intermediate node, and provides a basis for improving the access service quality.

Description

A Real-time Perception Method of Traffic Packet Loss Status for High-speed Networks technical field The present invention relates to a kind of high-speed network-oriented flow packet loss state real-time perception method technology, belonging to network management field. Background technique [0002] In recent years, with the rapid development of the Internet, many new network services have emerged. It provides great convenience to our daily life, and at the same time, the stability of these services is also the reason why people choose network access service providers. main basis. However, these web services may suffer from different types of cyber attacks or communication failures, resulting in data Packet loss further affects the user's service experience. Therefore, monitor the traffic of important network services and detect services in real time Traffic packet loss status, for network access service providers to discover security issues and management failur...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L43/0829H04L69/163H04L69/164G06N5/00G06K9/62
CPCH04L43/0829H04L69/163H04L69/164G06N5/01G06F18/24323Y02D30/50
Inventor 吴桦刘亚程光
Owner SOUTHEAST UNIV
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