Network Traffic Analysis for Mobile Terminal Based Multi-scale Entropy

被引：1
|
作者：
Chen, Xiaoming [1 ]
Wang, Huiqiang [1 ]
Lin, Junyu [1 ]
Feng, Guangsheng [1 ]
Zhao, Chao [1 ]
机构：
[1] Harbin Engn Univ, Coll Comp Sci & Technol, Harbin, Heilongjiang, Peoples R China
来源：
2014 ASIA-PACIFIC SERVICES COMPUTING CONFERENCE (APSCC) | 2014年
基金：
中国国家自然科学基金; 高等学校博士学科点专项科研基金;
关键词：
Multi-scale Entropy; Network Traffic Analysis; ANFIS; Traffic classification;
D O I：
10.1109/APSCC.2014.21
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Future networks devoted much attention to QoS of user experience. This makes it very important to understand the characteristics of user traffic. For network across multiple network layers have the characteristics of varying complexity, put forward a kind of traffic characteristics analysis method based on space and time scales. Firstly, the traffic model is established using multi-scale characterization, and then network behavior at different temporal and spatial scales of structural complexity network behavior is analyzed. Then we explore its change law of time scale, it can success classifies traffic types, so as to accurately forecast the next period of time of business. The results of the experiment data analysis shows that the method can effectively realize online monitoring of the business flow.
引用
收藏
页码：74 / 80
页数：7
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