期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：8-1
出版社：Seventh Sense Research Group
摘要：A new approach is proposed to predict the fractal behavior of a distributed network traffic, in which a random scaling fractal model is used to simulate the selfaffine characteristics ofa network traffic.A study of the network traffic is done by sniffing a portion of it using Wireshark. The sniffed traffic is inspected and dissected using filter option, for each differentprotocols. The fractal behavior of the traffic are sniffed and examined by an opensource network analyzer. Later, the packet records that were sniffed are exported to NeuroSolutions builder,SPSS andthen examined. Further, the exported and dissected traffic data is fed as input to train the neural network to let it predict the resultant fractal behavior of the distributed network traffic and an equation is proposed to derive the ultimate close network traffic prediction in SPSS.
