WF2Q-M: Worst-case fair weighted fair queueing with maximum rate control

Lee, Jeng Farn; Chen, Meng Chang; Sun, Yeali S.

doi:10.1016/j.comnet.2006.07.013

Cited by 21 publications

(8 citation statements)

References 17 publications

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“…To meet the goal, we use the WF 2 Q-M scheduling algorithm -a weighted fair service discipline which provides both the upper and lower bounds of transmission rate guarantees [17] to assure the transmission bit rate range of all H.264 service levels are enforced.…”

Section: Scheduling With Wf 2 Q-mmentioning

confidence: 99%

A User-Decided Service Model and Resource Management in a Cooperative WiMAX/HSDPA Network

Pan

Sun

Hsu

et al. 2009

2009 IEEE International Conference on Communications

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Employing multiple radio access technologies such as WiMAX, HSDPA and Wi-Fi in a mobile network to provide users with more cost-effective communication services has long been a vision of many service network providers. In this paper, we propose a novel user-decided service model for a cooperative wireless network in which the radio resources of multiple wireless networks are collectively managed. Under the model, users are provided with multiple service options with different levels of service quality and charges. It is up to users to choose the most suitable service option (and access network) based on their personal preference and the amount of money they are willing to pay. We use a video streaming service in a WiMAX/HSDPA network as an example to illustrate the key concepts and resource management of our approach. The results of simulation show that, under the model, the service network can accommodate more users and provide higher user satisfaction than the traditional network-decided service model. It can also achieve higher resource utilization and revenues. This demonstrates the importance of defining the concept of userdecided service model in a cooperative heterogeneous networking environment.

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Section: Scheduling With Wf 2 Q-mmentioning

confidence: 99%

A User-Decided Service Model and Resource Management in a Cooperative WiMAX/HSDPA Network

Pan

Sun

Hsu

et al. 2009

2009 IEEE International Conference on Communications

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“…However, as aforementioned, GPS is impractical because several packets from different traffic flows receive services simultaneously in GPS. On the contrary, in realistic networks a scheduler must complete or terminate the service of an entire packet from a flow before turning to the next flow [1], [7]. For this reason, many packet-based scheduling disciplines have been proposed to approximate the GPS scheduling mechanism in the open literature.…”

Section: Introductionmentioning

confidence: 98%

A Comprehensive Analytical Model for Weighted Fair Queuing under Multi-Class Self-Similar Traffic

Jin

Min

Wang

2009

2009 IEEE International Conference on Communications

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Weighted Fair Queueing (WFQ) is a practical scheduling discipline for supporting differentiated Quality-ofService (QoS) in computer networks and communication systems. Analytical models are important tools for system performance evaluation and resource optimization. However, there is not any comprehensive model reported in the open literature for analytically investigating the performance behaviors of WFQ subject to multiple self-similar traffic flows. To fill this gap, this paper develops such a model and derives the upper bounds for the distributions of several important QoS performance metrics including queue length, packet delay and loss of traffic flows in the WFQ system. The comparison between analytical and simulation results using the traffic parameters obtained from real-world MPEG frame traces validates the accuracy of the developed model which can be used for investigating the performance behavior of WFQ systems with multi-class selfsimilar traffic under realistic working conditions.

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“…The well-known Generalized Processor Sharing (GPS) principle [19] and its variants have received tremendous research efforts (e.g., [4,5,10,11,18,21,23,[25][26][27][28]31, 32]) owing to the desirable properties including fairness, traffic isolation, and work conservation. In a GPS system, each traffic flow is assigned a weight that can guarantee a minimum service rate even though other traffic flows may be greedy in demanding service.…”

Section: Introductionmentioning

confidence: 99%

Performance modelling of generalized processor sharing systems with multiple self-similar traffic flows

Jin

Min

2008

Telecommun Syst

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The Generalized Processor Sharing (GPS) is an important service differentiation scheme in telecommunication systems and has attracted great research interests due to the desirable properties of fairness, traffic isolation, and work conservation. The major limitation of the existing analytical performance models of GPS systems subject to selfsimilar traffic is that these models have been restricted to a simplified scenario with only two traffic flows. To overcome such a limitation, this study proposes a new flowdecomposition approach to modelling GPS systems subject to multiple self-similar traffic flows. We present and prove the existence of a feasible ordering of GPS systems based on the required and guaranteed service rates of traffic flows. With the aid of the feasible ordering, we decompose the GPS system into a group of single-queue systems and then derive the queue length distributions and loss probabilities of individual self-similar traffic flows in the original GPS system. Extensive simulation experiments are conducted to validate the accuracy of the developed analytical model.

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WF2Q-M: Worst-case fair weighted fair queueing with maximum rate control

Cited by 21 publications

References 17 publications

A User-Decided Service Model and Resource Management in a Cooperative WiMAX/HSDPA Network

A User-Decided Service Model and Resource Management in a Cooperative WiMAX/HSDPA Network

A Comprehensive Analytical Model for Weighted Fair Queuing under Multi-Class Self-Similar Traffic

Performance modelling of generalized processor sharing systems with multiple self-similar traffic flows

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