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IEICE TRANSACTIONS on Communications

Improvement of Flow Fairness in Quantized Congestion Notification for Data Center Networks

Yuki HAYASHI, Hayato ITSUMI, Miki YAMAMOTO

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Summary :

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 Adaptive BC_LIMIT for QCN where BC_LIMIT is adaptively decided according to current transmission rate of flows. Simulation results show that our proposed method significantly improves fairness among QCN flows.

Publication
IEICE TRANSACTIONS on Communications Vol.E96-B No.1 pp.99-107
Publication Date
2013/01/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E96.B.99
Type of Manuscript
PAPER
Category
Network

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