QCN Based Dynamically Load Balancing: QCN Weighted Flow Queue Ranking

Pistirica, Sorin Andrei; Poncea, Ovidiu; Caraman, Mihai Claudiu

doi:10.1109/cscs.2015.28

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…By contrast, FECN and E‐FECN mechanisms recover slowly than BCN and QCN mechanisms because feedbacks have to take a round trip. QCN was also studied in [38–41] where [38] identified drawbacks in setting proper send rate and proposed fast and simple QCN to tackle the problem. The study in [39] also identified drawbacks in load balancing and proposed new technique for dynamic load balancing.…”

Section: Cn Schemesmentioning

confidence: 99%

“…QCN was also studied in [38–41] where [38] identified drawbacks in setting proper send rate and proposed fast and simple QCN to tackle the problem. The study in [39] also identified drawbacks in load balancing and proposed new technique for dynamic load balancing. However, the study in [40] concluded that QCN can effectively control link rate but performs poorly in Incast.…”

Section: Cn Schemesmentioning

confidence: 99%

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Comparative study of congestion notification techniques for hop‐by‐hop‐based flow control in data centre Ethernet

et al. 2018

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Data centre Ethernet (DCE) is a budding research area that has received considerable attention from the ICT sector. The traditional DCEs are considered unreliable despite being widely used in modern day data centres. In Ethernet intermediate layer 2 switching devices, the outgoing traffic is faster than the incoming traffic and therefore results in packet drops. Ethernet reliability is provided by the upper layer protocols, which is outlaw to the initial concept of the network. As such, various congestion notification (CN) techniques for hop-by-hop-based flow control have been proposed for layer 2 devices to address the issue of silent packet drops. However, a simulation-based evaluation of IEEE standards that solely focus on CN techniques remains lacking. This study investigates CN techniques for layer 2 devices that employ a hop-by-hop-based flow control. It also highlights the challenges confronting CN techniques in determining the optimal buffer threshold. In addition, FCoE protocol and its relation to CN are emphasized. A simulation-based evaluation of IEEE standards (IEEE 802.3x and IEEE 802.1Qbb) is performed on a hop-by-hop-based flow control with the traditional IEEE 802.3 Ethernet under different traffic loads. The parameters, such as throughput, end-to-end delay, and buffer space utilization, are evaluated through a simulation-based comparison.

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Section: Cn Schemesmentioning

confidence: 99%

Section: Cn Schemesmentioning

confidence: 99%

Comparative study of congestion notification techniques for hop‐by‐hop‐based flow control in data centre Ethernet

et al. 2018

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“…Congestion control at Layer 2 using the QCN scheme has been studied extensively in the context of unicast traffic [13][14][15][16][17][18][19][20]. However, the control of multicast traffic was not the object of the QCN standard [9].…”

Section: Introductionmentioning

confidence: 99%

Enhanced ethernet congestion management scheme for multicast traffic

Mliki

Fourati

Kamoun

et al. 2016

Trans. Emerging Tel. Tech.

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International audienceThe Quantized Congestion Notification (QCN) is a Layer 2 congestion control scheme for Carrier Ethernet data center networks. The QCN has been standardized as an IEEE 802.1Qau Ethernet Congestion Notification standard. This paper report a results of a QCN study with multicast traffic and proposes an enhancement to the QCN. In fact, in order to be able to scale up, the feedback implosion problem has to be solved. Therefore, we resorted to the representative technique, which uses a selected congestion point (i.e., the overloaded queue in a switch), to provide timely and accurate feedback on behalf of the congested switches in the path of multicast traffic. This paper evaluates the rate variation, the feedback overhead, the loss rate, the stability, the fairness, and the scalability performance of the standard QCN with multicast traffic and the enhanced QCN for multicast traffic. This paper also compares their performance criteria. The evaluation results show that the enhanced proposition of the QCN for multicast traffic gives better results than the standard QCN with multicast traffic. Indeed, the feedback implosion problem is settled by decreasing remarkably the feedback rate

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Framework for Traffic Proportional Energy Efficiency in Software Defined Networks

Assefa

Özkasap

2018

2018 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)

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QCN Based Dynamically Load Balancing: QCN Weighted Flow Queue Ranking

Cited by 4 publications

References 6 publications

Comparative study of congestion notification techniques for hop‐by‐hop‐based flow control in data centre Ethernet

Comparative study of congestion notification techniques for hop‐by‐hop‐based flow control in data centre Ethernet

Enhanced ethernet congestion management scheme for multicast traffic

Framework for Traffic Proportional Energy Efficiency in Software Defined Networks

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