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Multipath concurrent data packet mining and statistics method

A technology of data grouping and statistical methods, applied in the fields of electrical digital data processing, special data processing applications, digital data information retrieval, etc., can solve the problems of high data complexity, slow data processing, large data magnitude, etc. Efficiency, the effect of reducing the level of quantity, improving the efficiency

Pending Publication Date: 2020-06-02
成都锋卫科技有限公司
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Problems solved by technology

Large data volume, high data complexity, and slow data processing seriously affect the efficiency of data mining and statistics

Method used

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  • Multipath concurrent data packet mining and statistics method
  • Multipath concurrent data packet mining and statistics method

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Embodiment Construction

[0015] The present invention will be further described below in conjunction with accompanying drawing:

[0016] Such as figure 1 As shown, a kind of multi-path concurrent data grouping mining and statistical method of the present invention, a kind of multi-way concurrent data grouping and statistical method comprise the steps:

[0017] S1: the system obtains network traffic data packets;

[0018] S2: After the central server performs load balancing, the data packet is split and sent to the distributed server cluster;

[0019] S3: The user configures data aggregation and mining conditions, and each server node in the distributed server cluster performs matching mining on the data according to the data aggregation and mining conditions to obtain grouped data;

[0020] S4: the distributed server respectively obtains a copy of the packet data;

[0021] S5: the user configures data statistical conditions, and the distributed server calculates according to the statistical conditi...

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Abstract

The invention discloses a multipath concurrent data grouping and statistics method. Through front-end visual aggregation condition configuration and mining result data display, and with the assistanceof multi-task intelligent scheduling and multi-path concurrent data mining operation of a back-end server cluster, the difficulty of configuring complex mining conditions by a user is greatly reduced, and the data mining efficiency is greatly improved through intelligent and multi-path concurrent addition.

Description

technical field [0001] The invention belongs to the technical field of network traffic analysis, and in particular relates to a multi-channel concurrent data group mining and statistical method. Background technique [0002] With the development of computer technology and the Internet, the increase of broadband speed and the reduction of cost have made people's life and work more closely connected with the network, and the number of network data packets has increased geometrically. For the current network traffic data analysis, even experienced analysts can only analyze at most about 1,700,000 data packets a day. According to statistics, the data packets generated by a family in a week can reach 100 million levels, which is not an easy task. The magnitude of the analysis, if the traffic of a company, school, government and other endpoints is collected, the data packets will be at an astronomical level. Large data volume, high data complexity, and slow data processing seriou...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2458H04L29/08
CPCG06F16/2471G06F16/2465G06F16/2462H04L67/1001
Inventor 代先勇王炜邓金祥刘洋谷峰曾海刚佘朝裕
Owner 成都锋卫科技有限公司
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