| With the development of mobile Internet, there are a variety of new applications appeared. In the mobile internet,always online application, micro-Bo class, class mail, browser application become more and more popular. The GPRS network can not satisfy the requirement of the new mobile internet applications, which are facing unprecedented challenges. What need to do is to optimize the network structure and the software to improve the network resource utilization.This article based on the principle of the GPRS network and Android mobile application behavior to collect the behavior data of the always online applications,which is represented as qqã€fetionã€wechat,the microblog application such as sina microblogã€tencent microblog,the browser application and the mailbox application to bulid the interactive model.By analyzing network resource consuming of various applications in different conditions to propose prioritization scheme. At the same time in order to provide the theoretical and the current network parameters for the simulation this article analysis the interaction process, data size and data format.Finally compare the network resource consuming of the Apple Push Notification Service with the common heartbeat’s network resource consuming and come to a conclusion to To provide theoretical support for optimizing the utilization of network resources. These theories support can help operators to improve network resource utilization, allowing users to have a better web experience, while improving the operator’s profit margins. |