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- W1540563516 abstract "AbstractThis paper proposes an Active Queue Management(AQM) scheme referred to as Fuzzy Predictive Preferential Dropping (FPPD). Two contributions are made in this work. Firstly, a fuzzy predictor is employed to improve the accuracy of traffic prediction. Secondly, a novel congestion index, predicted traffic intensity from fast flows, is used to derive packet dropping probability for AQM. The FPPD safely detects real congestion caused by large flows while leaving transient traffic burst from short-lived flows alone. Furthermore, a preferential dropping mechanism is adopted to treat packets from long-term fast flows and short-lived flows differently. Simulations show that the proposed FPPD reduces packet drop ratio and utilizes link bandwidth more efficiently than other AQM schemes. It also improves the quality of service perceived by web users." @default.
- W1540563516 created "2016-06-24" @default.
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- W1540563516 date "2005-01-01" @default.
- W1540563516 modified "2023-09-23" @default.
- W1540563516 title "Fuzzy Predictive Preferential Dropping for Active Queue Management" @default.
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- W1540563516 doi "https://doi.org/10.1007/11552451_44" @default.
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