Active Queue Management as Quality of Service Enabler for 5G Networks

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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VoIP Quality of Service in Networks with Active Queue Management

IEEE Latin America Transactions ◽

10.1109/tla.2009.5361199 ◽

2009 ◽

Vol 7 (5) ◽

pp. 603-611 ◽

Cited By ~ 1

Author(s):

Vitalio Alfonso Reguera ◽

Evelio Martin Garcia Fernandez ◽

Felix Alvarez Paliza ◽

Walter Godoy

Keyword(s):

Quality Of Service ◽

Active Queue Management ◽

Queue Management

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

Computer Science ◽

10.7494/csci.2021.22.2.4020 ◽

2021 ◽

Vol 22 (2) ◽

Author(s):

Aminu Adamu

Keyword(s):

Quality Of Service ◽

Load Condition ◽

Active Queue Management ◽

Traffic Load ◽

Queue Management ◽

Network Systems ◽

Adaptation Mechanism ◽

Linear Mode ◽

Self Adaptive

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.

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Household bandwidth and the ‘need for speed’: Evaluating the impact of active queue management for home internet traffic

Australian Journal of Telecommunications and the Digital Economy ◽

10.18080/ajtde.v5n2.99 ◽

2017 ◽

Vol 5 (2) ◽

pp. 113

Author(s):

Jenny Kennedy ◽

Grenville Armitage ◽

Julian Thomas

Keyword(s):

Quality Of Service ◽

Internet Use ◽

Active Queue Management ◽

Internet Traffic ◽

Queue Management ◽

Policy Debate ◽

Perceived Need ◽

Internet Connections ◽

The Impact

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.

Download Full-text