Generation of self similar network traffic using DFGN algorithm / Che Ku Noreymie Che Ku Jusoh
This thesis discusses the generation of network traffic using discrete Fractional Gaussian Noise (dFGN) algorithm. Since the traffic on a number of existing networks is bursty, much research focuses on how to capture the characteristics of traffic to reduce the impact of burstiness. Convention...
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主要作者: | Che Ku Jusoh, Che Ku Noreymie |
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格式: | Thesis |
语言: | English |
出版: |
2006
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主题: | |
在线阅读: | https://ir.uitm.edu.my/id/eprint/847/1/TB_CHE%20KU%20NOREYMIE%20CHE%20KU%20JUSOH%20CS%2006_5%20P01.pdf |
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