Abstract
This 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.
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Che, L., Qiu, B. (2005). Fuzzy Predictive Preferential Dropping for Active Queue Management. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_44
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DOI: https://doi.org/10.1007/11552451_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
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