Browsing by Subject "AQM"
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Item type:Article, Access status: Open Access , Analiza efektywności przeciwdziałania przeciążeniom chwilowym przez algorytmy wczesnego wykrywania przeciążeń w sieciach TCP/IP(Wydawnictwa AGH, 2008) Płachecki, Konrad; Przyłucki, SławomirThis paper presents active queue management mechanisms to provide congestion control in TCP/IP best-effort networks: RED, REM and FuzzyREM (FREM). Authors propose, how to better solve the drop tail and buffer utilization problems in the basic AQM mechanisms, with one buffer and a server.Item type:Article, Access status: Open Access , SARED: self-adaptive active queue management scheme for improving quality of service in network systems(Wydawnictwa AGH, 2021) Adamu, Aminu; Surajo, Yusuf; Jafar, Muhammad T.Considering the phenomenal growth of network systems, congestion remains a threat to the quality of the service provided in such systems, hence, research on congestion control is still relevant. The Internet research community regards active queue management (AQM) as an effective approach for addressing congestion in network systems. Most of the existing AQM schemes possess static drop patterns and lack a self-adaptation mechanism, as such they do not work well for networks where the traffic load fluctuates. This paper proposes a self-adaptive random early detection (SARED) scheme that smartly adapts its drop pattern based on a current network’s traffic load in order to maintain improved and stable performance. Under light- to moderate-load conditions, SARED operates in nonlinear modes in order to maximize utilization and throughput, while it switches to a linear mode in order to avoid forced drops and congestion under high-load conditions. Our conducted experiments revealed that SARED provides optimal performance regardless of the condition of the traffic load.
