A comprehensive survey on Carrier Ethernet Congestion Management mechanism

Mliki, Hela; Fourati, Lamia Chaari; Kamoun, Lotfı

doi:10.1016/j.jnca.2014.09.003

Cited by 15 publications

(5 citation statements)

References 54 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][39][40][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%

“…However, the study in [40] concluded that QCN can effectively control link rate but performs poorly in Incast. Moreover, the authors in [41] provide study of BCN, FCN, and QCN and its variants to explain the effects on the performance of data centre Ethernets (DCEs). On the other hand, the study in [42] claimed that QCN is not feasible and PFC is not efficient against congestion and provided a transport layer‐based solution.…”

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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“…TR D TR C R AI (7) CR D 1 2 .CR C TR/ (8) Here, R AI is a constant selected to be 5 Mbps in the QCN standard [9].…”

Section: Active Increasementioning

confidence: 99%

“…In order to manage traffic overhead and improve QoS, IEEE 802.1Qau proposes Quantized Congestion Notification (QCN) as a scheme to manage congestion for a Carrier Ethernet network . The QCN relies on an end‐to‐end congestion notification to control congestion at the Layer 2 network.…”

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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“…The feedback frame is sent in the backward direction to frame senders that have induced the queue overflow. Frame senders—known as reaction points (RPs)—use the received feedback to adjust the rate of data flows causing congestion .…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of legacy QCN for multicast and multiple unicast traffic transmission

et al. 2016

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A multicast congestion control scheme is an interesting feature to control group communication applications such as teleconferencing tools and information dissemination services. This paper addresses a comparison between multiple unicast and multicast traffic congestion control for Carrier Ethernet. In this work, we proposed to study the Quantized Congestion Notification (QCN), which is a Layer 2 congestion control scheme, in the case of multicast traffic and multiple unicast traffic. Indeed, the QCN has recently been standardized as the IEEE 802.1Qau Ethernet Congestion Notification standard. This scheme is evaluated through simulation experiments, which are implemented by the OMNeT++ framework. This paper evaluates the Reaction Point (RP) start time congestion detection, feedback rate, loss rate, stability, fairness and scalability performance of the QCN for multicast traffic transmission and multiple unicast traffic transmission. This paper also draws a parallel between QCN for multicast traffic transmission and that for multiple unicast traffic transmission. Despite the benefit of integrating the multicast traffic, results show that performance could degrade when the network scales up. The evaluation results also show that it is probable that the feedback implosion problem caused by the bottlenecks could be solved if we choose to set the queue parameter Qeq threshold value at a high value, 3/4 of the queue capacity for instance.

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A comprehensive survey on Carrier Ethernet Congestion Management mechanism

Cited by 15 publications

References 54 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

Performance evaluation of legacy QCN for multicast and multiple unicast traffic transmission

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