scholarly journals SARED: A Self-Adaptive Active Queue Management Scheme for Improving Quality of Service in Network Systems

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Aminu Adamu

Considering the phenomenal growth of network systems, congestion remains a threat to the quality of service provided in such systems, hence, research on congestion control is still relevant. Internet research community regards Active Queue Management (AQM) as an effective approach to address congestion in network systems. Most of the existing AQM schemes possess static drop patterns and lack self-adaptation mechanism, as such don’t work well for networks where traffic load fluctuates. This paper proposes Self-Adaptive Random Early Detection (SARED) scheme which smartly adapts its drop pattern based on current network’s traffic load in order to maintain better and stable performance. In light to moderate load conditions, SARED operates in nonlinear modes in order to maximize utilization and throughput, while in high load condition, it switches to linear mode in order to avoid forced drops and congestion. Experiments conducted have revealed that regardless of traffic load’s condition, SARED provides optimal performance.

2021 ◽  
Vol 21 (2) ◽  
pp. 29-44
Author(s):  
Mosleh M. Abualhaj ◽  
Mayy M. Al-Tahrawi ◽  
Abdelrahman H. Hussein ◽  
Sumaya N. Al-Khatib

Abstract The congestion problem at the router buffer leads to serious consequences on network performance. Active Queue Management (AQM) has been developed to react to any possible congestion at the router buffer at an early stage. The limitation of the existing fuzzy-based AQM is the utilization of indicators that do not address all the performance criteria and quality of services required. In this paper, a new method for active queue management is proposed based on using the fuzzy logic and multiple performance indicators that are extracted from the network performance metrics. These indicators are queue length, delta queue and expected loss. The simulation of the proposed method show that in high traffic load, the proposed method preserves packet loss, drop packet only when it is necessary and produce a satisfactory delay that outperformed the state-of-the-art AQM methods.


2008 ◽  
Vol 31 (1) ◽  
pp. 73-87 ◽  
Author(s):  
Vitalio Alfonso Reguera ◽  
Félix F. Álvarez Paliza ◽  
Walter Godoy ◽  
Evelio M. García Fernández

Author(s):  
Vitalio Alfonso Reguera ◽  
Felix F. Alvarez Paliza ◽  
Evelio M. Garcia Fernandez ◽  
Walter Godoy

2017 ◽  
Vol 5 (2) ◽  
pp. 113-130
Author(s):  
Jenny Kennedy ◽  
Grenville Armitage ◽  
Julian Thomas

In this paper, we aim to contribute to the policy debate on bandwidth needs by considering more closely what happens in household networks. We draw upon both social and technical studies modelling household applications and their uses to show how queue management protocols impact bandwidth needs. We stress the impact of internet traffic streams interfering with each other, and describe three different categories of internet traffic. We demonstrate how the use of active queue management can reduce bandwidth demands. In doing so we consider how, and to what degree, household internet connections are a constraint on internet use. We show that speed demand predictions are skewed by a perceived need to protect the Quality of Service experienced by latency-sensitive services when using current gateway technologies.


2009 ◽  
Vol 7 (5) ◽  
pp. 603-611 ◽  
Author(s):  
Vitalio Alfonso Reguera ◽  
Evelio Martin Garcia Fernandez ◽  
Felix Alvarez Paliza ◽  
Walter Godoy

Author(s):  
Jenny Kennedy ◽  
Grenville Armitage ◽  
Julian Thomas

In this paper, we aim to contribute to the policy debate on bandwidth needs by considering more closely what happens in household networks. We draw upon both social and technical studies modelling household applications and their uses to show how queue management protocols impact bandwidth needs. We stress the impact of internet traffic streams interfering with each other, and describe three different categories of internet traffic. We demonstrate how the use of active queue management can reduce bandwidth demands. In doing so we consider how, and to what degree, household internet connections are a constraint on internet use. We show that speed demand predictions are skewed by a perceived need to protect the Quality of Service experienced by latency-sensitive services when using current gateway technologies.


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