Improving Fairness of Quantized Congestion Notification for Data Center Ethernet Networks

Yuki Hayashi, H. Itsumi, M. Yamamoto
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引用次数: 17

Abstract

In large-scale data centers, two types of network are implemented: local area networks (LANs) and storage area networks (SANs). To achieve simple network management, integration of these two networks by Ethernet technology is of great interest. A SAN requires a significantly low frame loss rate. To integrate LANs and SANs, a multi-hop Ethernet configuration is generally used, and congestion may occur in traffic hot spots. Therefore, layer-2 congestion control that prevents frame loss in multi-hop Ethernet, Quantized Congestion Notification (QCN), is now discussed in IEEE 802.1Qau. In this paper, we evaluate QCN's throughput performance and reveal a technical problem with fairness among active flows. We also propose an enhancement of QCN's rate increase principle and demonstrate that it improves fairness.
提高数据中心以太网量化拥塞通知公平性
在大型数据中心中,主要实现两种类型的网络:局域网(lan)和san (storage area network)。为了实现简单的网络管理,利用以太网技术将这两种网络进行集成是人们非常感兴趣的。SAN对帧丢包率的要求非常低。为了实现lan和san的融合,一般采用多跳以太网的配置,在流量热点可能出现拥塞。因此,在多跳以太网中防止帧丢失的第二层拥塞控制,量化拥塞通知(QCN),现在在IEEE 802.1Qau中进行了讨论。在本文中,我们评估了QCN的吞吐量性能,并揭示了主动流之间公平性的技术问题。我们还提出了QCN费率提高原则的改进,并证明了它提高了公平性。
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