Research On Application Of Big Data In The Data Flow Analysis Model

For the telecommunications company,the traffic is a source of revenue,the traffic is the cornerstone of future success.Improve traffic management,operators will not only become a conduit.Traffic flow from operating shift operation,the operator's choice;focus on traffic management,mining data traffic implication of value,it has become the only choice for operators.However,operators in this transformation process,exposed a lot of problems,from networking,fees,terminal to the service provided,are all experiencing a bottleneck.This is a need for operators to accelerate innovation and integration of the times,the transition pains have begun,operators are collective transformation,traffic management will change the communications industry,the traditional business model and competition model,which requires operators to further enhance the ability to control the industrial chain.In this context,this paper mobile traffic under the big data analysis model and application were studied.Firstly,the theory of large data were introduced,while for large data applications in the communication system are discussed;Secondly to establish a flow analysis model,including analytical needs of the network-side output demand flow analysis model,analytical model,model,model resolution process,the client software analytical methods,HTTP protocol content analysis,algorithmic process flow preferences and input and output and so on;again,the policy and operational flow analysis model was designed,including the model's own business,there are business service strategy and operating model,output data,competing products customers anti dig scene,traffic analysis preference event marketing,instant messaging products analysis,application content management,content management,content and keywords;and finally the model for campus users design,and applied research,the main contents include campus users modeling ideas,it features user indicators,model algorithm,campus user identification,modeling process and model output and so on.