Cited By
View all- Kong FLi JJiang BZhang TSong H(2018)Big data‐driven machine learning‐enabled traffic flow predictionTransactions on Emerging Telecommunications Technologies10.1002/ett.348230:9Online publication date: 19-Jul-2018
Enhanced ethernet congestion management scheme for multicast traffic
Pages 1563 - 1579
Abstract
The Quantized Congestion Notification QCN is a Layer 2 congestion control scheme for Carrier Ethernet data center networks. The QCN has been standardised 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. Copyright © 2016 John Wiley & Sons, Ltd.
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Published: 01 November 2016
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View all- Kong FLi JJiang BZhang TSong H(2018)Big data‐driven machine learning‐enabled traffic flow predictionTransactions on Emerging Telecommunications Technologies10.1002/ett.348230:9Online publication date: 19-Jul-2018
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