نتایج جستجو برای: aqm
تعداد نتایج: 534 فیلتر نتایج به سال:
Today’s known and widely used active queue management (AQM) schemes do not differentiate between packets from responsive (e.g., TCP sessions) and non-responsive traffic (e.g., UDP). This results in further widening the gap of unfair advantage already inherent to non-responsive traffic, as the responsive sender will significantly reduce its future transmit rate as a result of the congestion sign...
RED is an Active Queue Management (AQM) technique that is intended to achieve high link utilization with a low queuing delay. Recent studies show that RED is difficult to configure for some rapidly changing traffic mixes and loads [2]. Other studies show that under some conditions, the performance gains of RED and its variants over traditional drop-tail queue management is not significant given...
A Comparative Study of Queue, Delay, and Loss Characteristics of AQM Schemes in QoS-enabled Networks
One of the major component in a QoS-enabled network is active queue management (AQM). Over the last decade numerous AQM schemes have been proposed in the literature. However, much recent work has focused on improving AQM performance through alternate approaches. This study focuses on an unbiased comparative evaluation of the various proposals. The evaluation methodology adopted is the following...
In recent years, several neuron-based active queue management (AQM) schemes have been proposed. Such schemes exhibit important attributes including fast convergence with high accuracy to a desired queue length. This paper presents extensive comparative simulation results for four neural AQM schemes, namely, Neuron PID, AN-AQM, FAPIDNN, NRL, versus three traditional AQM schemes (ARED, REM and PI...
Today’s known and widely used active queue management (AQM) schemes do not differentiate between packets from responsive (e.g., TCP sessions) and non-responsive traffic (e.g., UDP). This results in further widening the gap of unfair advantage already inherent to non-responsive traffic, as the responsive sender will significantly reduce its future transmit rate as a result of the congestion sign...
Active Queue Management (AQM) is the process of signaling Transmission Control Protocol (TCP) sources from core routers with the objective of managing queue utilization and delay. AQM methods can be classified into two main classes, namely, non-control theoretic-Random Early Detection(RED) and its variants and control theoretic-Proportional (P), Proportional Integral (PI) controllers. Shortcomi...
In this report we discuss the dynamics of heterogeneous TCP systems with propagation delays. Instead of studying the local linearized TCP dynamics, we study the global stability conditions and obtain the stability regions. Also we provide proof of periodic behavior of a single TCP connection when stability conditions are not met.
The current TCP/IP architecture is known to be biased against flows of small sizes — small flows (or mice) — in the network, thereby affecting the completion times of small flows. A common approach taken to solve this problem is to prioritize small flows over large flows (elephants) during the packet-scheduling phase in the router. Past studies have shown that such ‘size-based’ priority schedul...
Self-similarity of network traffic is a well-known paradigm for more than a decade, now. Following the first realization of this property, it has been a popular issue to question if the self-similarity persisted with the changing network architectures and conditions. However, the effects of Active Queue Management (AQM) mechanisms over the self-similarity of network traffic have almost been lef...
In this paper, we investigate stability and bifurcation arising in a communication network model with a large number of homogeneous (symmetric) users and a single bottleneck AQM queue. We carry out bifurcation analysis to study the effect of user delay and strength of feedback. It is shown that for any given delay, there exists a critical amount of feedback (due to AQM) at which the equilibrium...
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