摘要
以CAIDA组织授权的海量数据为样本空间,利用相空间重构技术以及G-P算法,对时间维的Internet访问时间进行相空间重构,得到其混沌吸引子饱和关联维数为2.8308,证实Internet访问时间的演化过程具有混沌特征。在此基础上,根据关联维数及奇怪吸引子在相空间混沌轨道运动的特性,提出了三维微分方程组的Internet访问时间长期预测模型。
As the giant data samples authorized by CAIDA to be the sample space, the saturated correlative dimension of chaotic attractor of Internet traveling time with phase space reconstruction and G-P algorithm are calculated about 2. 8308. It approves that the evolvement of Internet traveling time exists characteristic of chaos. Based on the saturated correlative dimension and strange attractor movement near the path of the phase space, a model of three dimension differential equation of Internet traveling time is put forward, which is suitable for the long-term forecast.
出处
《计算机科学》
CSCD
北大核心
2008年第5期85-86,130,共3页
Computer Science
基金
国家自然科学基金(69873007)
国家级火炬计划项目(2002EB010154)
