基于信令大数据的网络性能分析方案研究

Research on the Scheme of Network Performance Analysis Based on Big Data

随着移动4G网络的快速发展.在网用户数发生了质的飞跃,全面宏观掌控网络性能和用户感知对于现今4G网络规划、建设、运营及维护尤为重要,由测试所获取的样本量已不能满足要求。为此,引入了基于大数据的网络性能分析方案,即采用软采、硬采、DPI相结合的方式获取现网数据,从海量数据中钻取网络性能参数,并关联大数据中有效信息实现网络性能评估。针对该方案目前正在进行深入研究,相关阶段性研究成果将在本文中逐一介绍。

With the rapid development of mobile 4G networks, the number of users grows substantially. The integral comprehension of the network performance and user perception is significant to the 4G network planning, construction, operation and maintenance, However, the sample size from tests cannot meet requirementS. Therefore, the analysis scheme on the network performance based on big data was introduced, which uses the combination of soft collection, hard collection and the DPI to get the network data. The network performance parameter can be derived from large amounts of the data. The effective information can be correlated to evaluate the network performance. The scheme is deeply investigated and correspondingly phased results will be presented in this paper.