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Method and device for forecasting flow and configuring capacity of network equipment interface

A network device and flow prediction technology, applied in the network field, can solve problems such as incorrect network device configuration, affecting network performance, and inability to accurately predict the actual flow of network device interfaces, so as to achieve the effect of ensuring balance and meeting network requirements

Active Publication Date: 2012-10-24
CHINA MOBILE GROUP DESIGN INST
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AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present invention provides a network device interface flow prediction and capacity configuration method and device, which are used to solve the problem in the prior art that the actual flow of the network device interface cannot be accurately predicted, resulting in incorrect configuration of the network device and affecting network performance.

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  • Method and device for forecasting flow and configuring capacity of network equipment interface
  • Method and device for forecasting flow and configuring capacity of network equipment interface
  • Method and device for forecasting flow and configuring capacity of network equipment interface

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Embodiment Construction

[0042] Aiming at the problem that there is no effective implementation scheme of long-term correlation traffic prediction in the prior art, which leads to the inability to guide network device configuration well and affect network performance, the embodiment of the present invention provides a network device interface traffic prediction method. In addition, it also A network device interface capacity configuration method based on the above network device interface traffic prediction method is provided.

[0043] The method for predicting network device interface traffic provided by the embodiment of the present invention has a process as follows figure 1 As shown, the functional block diagram of network device interface traffic prediction is as follows: figure 2 As shown, the method includes the following steps:

[0044] Step S101: Collect user behavior data.

[0045] Collect the behavioral data of Internet users in order to analyze the user's online behavior, summarize the ...

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Abstract

The invention discloses a method and device for forecasting the flow and configuring the capacity of a network equipment interface. The method comprises the following steps of: acquiring user behavior data in the Internet; performing user clustering analysis on the acquired user behavior data, and determining access proportions of user types of users accessing Internet services; performing service clustering analysis on the acquired user behavior data, and determining the probability that each user type accesses each service type in the Internet services; determining the use probability of each service type according to the probability that each user type accesses each service type in the Internet services and the access proportions of the user types; and determining a flow forecast value of the network equipment interface according to the use probability of each service type, a corresponding service quality restraint index and the determined service use concentration degree. By the method, the flow of the network equipment interface can be effectively forecast; and long-relevance flow forecasting can be realized in consideration of user behaviors and demands on the service quality.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a network device interface flow prediction and capacity configuration method and device. Background technique [0002] Internet traffic prediction has always been a hot and difficult issue in Internet construction, network equipment configuration and network maintenance. By predicting the interface traffic of network equipment in the Internet, it can guide the configuration of network equipment interface capacity. At present, the models used to realize Internet traffic forecasting are generally some network traffic short-correlation models, including Poisson, Markov and other traffic models, which are mainly designed and implemented for network maintenance, traffic cross-border alarm and other fields. [0003] At present, it is rare to use a long-term correlation traffic model to predict traffic based on network traffic guidance, control network construction, equipment configura...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04L12/56
Inventor 付宏志纪芳蔡路阔
Owner CHINA MOBILE GROUP DESIGN INST
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