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• W2549276493 endingPage "09024" @default.
• W2549276493 startingPage "09024" @default.
• W2549276493 abstract "Recently, network traffic has exponentially increasing due to all kind of applications, such as mobile Internet, smart cities, smart transportations, Internet of things, and so on. the end-to-end network traffic becomes more important for traffic engineering. Usually end-to-end traffic estimation is highly difficult. This paper proposes a Bayes theory-based method to model the end-to-end network traffic. Firstly, the end-to-end network traffic is described as a independent identically distributed normal process. Then the Bases theory is used to characterize the end-to-end network traffic. By calculating the parameters, the model is determined correctly. Simulation results show that our approach is feasible and effective." @default.
• W2549276493 created "2016-11-30" @default.
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• W2549276493 date "2016-01-01" @default.
• W2549276493 modified "2023-10-16" @default.
• W2549276493 title "A Bayes Theory-Based Modeling Algorithm to End-to-end Network Traffic" @default.
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• W2549276493 doi "https://doi.org/10.1051/itmconf/20160709024" @default.
• W2549276493 hasPublicationYear "2016" @default.
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