Efficient Handling And Performance Optimization For Mobile Internet Traffic Data

With the rapid development of science and technology, the network has become an indispensable tool for people, and the species of network applications are increasingly abundant. At the meanwhile, the rapid development of mobile communication technology is leading the global mobile communications technology evolving from2G to3G. The mobile internet beyond the desktop computer and becomes the first major internet terminals for the first time.This paper introduces the network traffic monitoring technology and mobile Internet data characteristics in the beginning, and then introduces the Google’s core cloud computing technology and its implementation framework Hadoop which is a distributed system.In order to process traffic data more efficiently, we developed a Hadoop-based distributed data processing System (HDPS). This thesis describes the design and implementation of HDPS and mainly focuses on the analysis module of HDPS. At the same time, we developed a lot of applications based HDPS system. This thesis focuses on distributed efficient data retrieval system for mobile Internet traffic.Finally, this thesis summarizes the experience and methods of performance optimization, and describes the application of these performance optimizations scenes.