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    申彦明

    • 教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:纽约理工大学
    • 学位:博士
    • 所在单位:计算机科学与技术学院
    • 办公地点:海山楼B0813
    • 联系方式:shen@dlut.edu.cn
    • 电子邮箱:shen@dlut.edu.cn

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    Length Shuffle: Achieving high performance and flexibility for data center networks design

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    论文类型:期刊论文

    发表时间:2017-10-01

    发表刊物:COMPUTER COMMUNICATIONS

    收录刊物:Scopus、SCIE、EI

    卷号:111

    页面范围:142-152

    ISSN号:0140-3664

    关键字:Data center network; High performance; Flexibility

    摘要:Scale-out data center requires the underlying network to provide high performance and design flexibility on commodity switches. Current rigid architectures can provide high performance, but they hardly support network design flexibility. Flexible proposals address the issue of elasticity in the rigid networks. However, the introduction of random connection cannot provide guaranteed network performance. In this paper, we proposed Length Shuffle connection to address the performance issue in flexible data center networks. The proposed approach follows a greedy principle that gradually connects the furthest two switches with their available ports. Length Shuffle connection can reduce the number of long paths significantly, which results in a small average length of routing path. The proposed connection can work with random connection and regular connection in flexible network construction, and does not interfere the original routing protocols. Numerical analysis shows the nice properties of Length Shuffle connection in various dimensions. The extensive experimental results demonstrate the advantages of Length Shuffle connection in data transmission delay and aggregate throughput under different traffic patterns. (C) 2017 Elsevier B.V. All rights reserved.