Intelligent Pipe Control Research Based On DPI Technology

With the development and popularization of computer network,Internet has become an important element of our life in recent years.Facing with the increasing traffic on Internet,issues such as how to distribute the network resource reasonably to insure the different application demands with different users;how to decrease network congestion to improve the performance of several applications;how to identify and deal with malwares to insure a safe and reliable network environment has been getting more and more attention from operators and companies.To solve the issues,the primary thing we need to do is to identify and classify the application traffic correctly.Therefore,traffic identification and classification has become an important research direction.Based on telecom operators increasingly urgent demand for intelligent pipeline,this research achieved user's behavior refined analysis which combined protocol decoding and services call or detail records synthesis method with the advantages of current prevailing internet behavior analysis technologies-deep packet inspection(DPI)technique and focused crawler technology.This research not only achieves the goal,but also has the guiding value of the research for intelligent pipeline.