Traffic shaping based on an exponential token bucket for quantitative QoS: implementation and experiments on DiffServ routers

Vayias, E.; Soldatos, John; Kormentzas, George

doi:10.1016/j.comcom.2005.07.019

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Recently, different researches [27][28][29] have been conducted to describe the strengths and weaknesses related to each of these mechanisms and point out the benefits of QoS for organizations, allowing network administrators to take control of the use of these resources.…”

Section: Qos In Networkingmentioning

confidence: 99%

A linguistic decision support model for QoS priorities in networking

Gramajo

Martínez

2012

Knowledge-Based Systems

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Section: Qos In Networkingmentioning

confidence: 99%

A linguistic decision support model for QoS priorities in networking

Gramajo

Martínez

2012

Knowledge-Based Systems

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“…In [6], authors design a traffic policer based on token bucket concept. They use multiple token buckets or filters, where one filter may be assigned to one or more class of services.…”

Section: Related Workmentioning

confidence: 99%

“…Keep in mind that the traffic policer is attached to a traffic class and not to a traffic flow. First the total bucket size (b ) for a class of traffic [i], is represented as the sum of bucket size b calculated in equation (6) for each class. This is given by the equation:…”

Section: General Case: Multiple Active Connectionsmentioning

confidence: 99%

Traffic Policing Based on Token Bucket Mechanism for WiMAX Networks

Ghazal¹,

Ben‐Othman²

2010

2010 IEEE International Conference on Communications

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In large scale networks like the IEEE 802.16 (WiMAX), monitoring the amount of traffic within the network is an important task. By controlling the amount of network traffic, congestion can be largely decreased. Therefore, the fulfilment of Quality of Service (QoS) requirement for each traffic class is guaranteed. In this study we propose a traffic policer based on token bucket concept for WiMAX. Token bucket parameters (token rate and bucket size) are adjusted according to the traffic characteristics of each traffic class individually. Simulation results show that our traffic policing technique greatly enhances network performance. It decreases the average delay for real time traffic like rtPS, and by consequence reduces data drop probability due to missed deadlines. It also decreases data loss probability for non real time service class like nrtPS.

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