A method for analyzing and predicting a metropolitan area network in a big data environment and a readable storage medium

Abstract

The invention discloses a metropolitan area network analysis and prediction method and a readable storage medium in a big data environment, belonging to the technical field of network planning. Prediction information; process the basic key data based on the set network status parameter prediction model to obtain the dynamic representation parameters of the metropolitan area network status; process the status quo dynamic representation parameters and user number prediction information based on the set network capability calculation model , get the capability representation parameters of the metropolitan area network; based on the capability representation parameters of the metropolitan area network, BRAS slot and session number information, information on various types of BRAS ports, etc., predict the expansion scale of the metropolitan area network to construct the project of the metropolitan area network construction plan. By introducing the thinking of big data, the present invention realizes the accurate prediction of the traffic model of the metropolitan area network in different regions, different time periods, different user packages and other scenarios, and achieves the purpose of precise planning of the metropolitan area network.

Description

technical field [0001] The invention relates to the technical field of network planning, in particular to a method for analyzing and predicting a metropolitan area network in a big data environment and a readable storage medium. Background technique [0002] Metropolitan area network generally refers to a high-bandwidth, multi-functional, multi-purpose network that integrates data, voice, and video services within a city, based on telecommunication technologies such as IP, and using optical fiber as a transmission medium. Multimedia communication network for business access. The MAN planning method is a method to realize the prediction and setting of equipment, links, capacity, flow, etc. in the MAN. [0003] Such as figure 1 As shown, with the rapid development of communication technology in the metropolitan area network in recent years, the broadband network gateway control equipment (BNG) equipment at the service control layer has basically realized a high-performance i...

AI Technical Summary

Problems solved by technology

Its shortcomings are: the existing metropolitan area network planning method predicts the traffic model with a large granularity, which is not precise enough, and the research is troublesome and the calculation is complicated.

[0006] Therefore, traditional metropolitan area network planning methods are difficult to adapt to future planning requirements in terms of refinement, intelligence, and version iteration speed

It is a conventional method with large planning granularity and manual calculation, which cannot be subdivided into various types of users

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