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Network data flow classification method and system

A data flow and type technology, applied in the field of data processing, can solve the problem of inaccurate classification of data flow application types

Active Publication Date: 2018-03-30
HUAWEI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] In view of this, the purpose of this application is to provide a method and system for classifying network data streams to solve the technical problem of inaccurate classification of application types of data streams in the prior art

Method used

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  • Network data flow classification method and system
  • Network data flow classification method and system
  • Network data flow classification method and system

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Embodiment Construction

[0024] figure 1 Shown is a schematic diagram of terminals performing data communication in a communication network. Terminals can be various network devices, such as mobile phones, computers, servers, and other devices capable of network data communication. Terminals can be connected by wire or wirelessly, and then data Communication, forming a communication network, such as WiFi, Bluetooth, GPS (Global Positioning System, global mobile communication) or satellite communication.

[0025] In this application, in order to realize the classification of the application type of the data flow of the data communication of the terminal in the communication network, it can be realized through the following scheme:

[0026] figure 2 Shown is an example diagram of collecting and classifying data streams in the process of terminal data communication by using a server group in this embodiment, and the server group may include a slave server and a master server. image 3 It is an impleme...

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PUM

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Abstract

The invention discloses a network data flow classification method and a system. The method comprises the following steps of collecting an information set containing a plurality of dimension information of a data flow to be processed; establishing a static behavior model and a dynamic behavior model of each piece of dimension information in the information set, wherein the static behavior model represents a value rule of the dimension information and the dynamic behavior model represents an association relation of the dimension information at one moment and at the next moment; using the staticbehavior model and the dynamic behavior model to acquire a static model distance and a dynamic model distance between a data flow to be processed and a data flow belonging to each target application type respectively; and based on the static model distance and the dynamic model distance between the data flow to be processed and the data flow belonging to each target application type, determining an application type of the data flow to be processed.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method and system for classifying network data streams. Background technique [0002] With the increasing popularity of Internet technology, especially the popularity of mobile terminals, more and more application-type data streams have emerged in communication networks, such as interactive types, massive data transmission types, stream application types, and abnormal flow types, etc. Wait. Data streams of different application types have different requirements on network services. Therefore, generally, different QoS needs to be provided for data streams of different application types. For example, interactive data, such as remote login data, has high requirements for network latency and real-time performance; data of massive data transmission, such as file and video downloads, has high requirements for real-time performance. The demand is not high, but it n...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06K9/62
CPCH04L67/10H04L67/60G06F18/24147G06F18/24155H04L41/16H04L43/026H04L43/0888H04L41/14H04L47/2441
Inventor 陈志堂耿彦辉简波尼亚斯·乔治
Owner HUAWEI TECH CO LTD
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