Statistical scaling analysis of TCP/IP data using cascades
Statistical scaling analysis of TCP/IP data using cascades
复制标题
使用级联对 TCP/IP 数据进行统计缩放分析
DOI：
10.1109/icassp.2001.940577
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发表时间：
2001
期刊：
影响因子：
--
通讯作者：
P. Flandrin
中科院分区：
文献类型：
--
作者：
S. Roux;D. Veitch;P. Abry;L. Huang;J. Micheel;P. Flandrin
从无限可分级联（IDC）的统一观点出发，详细分析了Internet数据的标度特性。从非常精确的TCP/IP流量轨迹提取时间序列，包括到达率，持续时间，和TCP连接的到达间隔时间。我们表明，IDC提供了这些系列的相关描述。它们之间的关系进行了调查，产生的缩放和可能的建模方法的来源的见解。
The scaling properties of Internet data are analysed in detail through the unifying viewpoint of infinitely divisible cascades (IDC). From exceptionally precise TCP/IP traffic traces are extracted time series including arrival rate, durations, and interarrival times of TCP connections. We show that IDC offer a pertinent description of these series. Relations between them are investigated, yielding insights on the sources of the scaling and possible modelling approaches.