卫星网络业务自相似特性分析  

Self-similarity Analysis of Satellite Network Traffic

作　　者：魏德宾[1,2] 潘成胜 韩睿[1,2] 

机构地区：[1]辽宁省通信网络与信息处理重点实验室,大连116622 [2]大连大学信息工程学院,大连116622

出　　处：《计算机科学》2013年第5期67-69,88,共4页Computer Science

基　　金：国家863计划项目(2011AAXX);辽宁省教育厅重点实验室项目(LS2010007);辽宁省科技厅创新团队资助项目(LT2010007)资助

摘　　要：根据分包数据系统的星上数据源特点及随机过程理论,得到星上数据源的模型参数。进一步利用STK和OPNET软件建立卫星网络模型,依据数据源的建模结果为低轨卫星添加业务,并在高轨卫星处收集网络业务量。最后,分别运用R/S分析法、方差-时间图法和周期图法对收集到的卫星网络业务量的自相似程度和突发性的重要参数——Hurst参数进行辨识。仿真结果表明卫星网络业务量也具有自相似性。The model parameters of data sources were obtained based on the characteristic of the packet onboard date system and stochastic process theory. Furthermore, the satellite network model was established by STK and OPNET. The model parameters of data sources were loaded to the LEO, and the network traffic was collected on the GEO. Last- ly, R/S analysis, variance-time plots and periodogram-based analysis were applied to the Hurst parameter estimation of the degree of the self-similarity and burstiness of the satellite network traffic. Simulation results show that the satellite network traffic is characterized by self-similarity.

关 键 词：HURST参数 R S分析法 方差-时间图法 周期图法 卫星网络业务量 

分 类 号：TN927[电子电信—通信与信息系统]