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Research on Technologies of Multi-patterns Network Traffic Generation

Author: ZhangShuo
Tutor: ZhaoRongCai
School: PLA Information Engineering University
Course: Computer Software and Theory
Keywords: Multi-mode Self-similar network traffic Random network traffic Wavelet Network Processor
CLC: TP393.06
Type: Master's thesis
Year: 2010
Downloads: 70
Quote: 0
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Abstract


Network traffic generation techniques as network congestion control , network bandwidth allocation and network performance evaluation basis for the development of network technology to provide technical support and security . With the constant expansion of the network , the increasing complexity of network structure , network traffic more diverse , increasingly complex network traffic characteristics , the face of the existing network traffic generation model is not uniform , than a single type of traffic generation , traffic generation performance deficiencies , this paper around the multi-mode network traffic generation and application of key technologies to explore and examine a more in-depth and systematic . The main contents are as follows: 1 , analysis of the existing network traffic characteristics , the current model of network traffic modeling study , simulation experiments were analyzed from the theoretical exploration , provides a multi- multi-mode network traffic generator model of multiple azimuth angle of the research base. 2, the wavelet method for the introduction of self-similar network traffic generation technology, by improving the fractional Brownian motion random midpoint set method , the self-similar time series solving , match the default Hurst value of self-similar network traffic generated . Combined with wavelet method , according to the theory of stochastic processes , by changing the association between the variables in the wavelet coefficients and scale coefficients are given a new random network traffic generation techniques to achieve a set of probability distribution and set the desired variance the case of multiple random network traffic generated. 4 for the analysis of network traffic characteristics are not uniform phenomenon , the use of multi-mode network traffic to generate a unified description of the problem , combined with self-similar network traffic generation technology and random network traffic generation techniques to analyze network data frame inter-frame delay , Hurst value , the relationship between the three of the types of network traffic , a multi- mode network traffic generation techniques . 5, the multi-mode network traffic generated technology in multi-mode network traffic generation system , the layered architecture of multi - core network processor system hardware development platform , multi-mode network traffic generation , and the system used in cyber attacks the behavior detection network available bandwidth measurement and network test test test results show the effectiveness of the above related technologies .

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