Dual-centric data center network architectures

Dawei Li, Jie Wu, Zhiyong Liu, Fa Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

Existing Data Center Network (DCN) architectures are classified into two categories: switch-centric and server-centric architectures. In switch-centric DCNs, routing intelligence is placed on switches, each server usually uses only one port of the Network Interface Card (NIC) to connect to the network. In server-centric DCNs, switches are only used as cross-bars, and routing intelligence is placed on servers, where multiple NIC ports may be used. In this paper, we formally introduce a new category of DCN architectures: the dual-centric DCN architectures, where routing intelligence can be placed on both switches and servers. We propose two typical dual-centric DCN architectures: FSquare and Rectangle, both of which are based on the folded Clos topology. FSquare is a high performance DCN architecture, in which the diameter is small and the bisection bandwidth is large, however, the DCN power consumption per server in FSquare is high. Rectangle significantly reduces the DCN power consumption per server, compared to FSquare, at the sacrifice of some performances, thus, Rectangle has a larger diameter and a smaller bisection bandwidth. By investigating FSquare and Rectangle, and by comparing them with existing architectures, we demonstrate that, these two novel dual-centric architectures enjoy the advantages of both switch-centric designs and server-centric designs, have various nice properties for practical data centers, and provide flexible choices in designing DCN architectures.

源语言英语
主期刊名Proceedings - 2015 44th International Annual Conference on Parallel Processing, ICPP 2015
出版商Institute of Electrical and Electronics Engineers Inc.
679-688
页数10
ISBN(电子版)9781467375870
DOI
出版状态已出版 - 8 12月 2015
已对外发布
活动44th International Conference on Parallel Processing, ICPP 2015 - Beijing, 中国
期限: 1 9月 20154 9月 2015

出版系列

姓名Proceedings of the International Conference on Parallel Processing
2015-December
ISSN(印刷版)0190-3918

会议

会议44th International Conference on Parallel Processing, ICPP 2015
国家/地区中国
Beijing
时期1/09/154/09/15

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