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Volume 33 Issue 2
March  2018
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Xi Wang, Jian-Xi Fan, Cheng-Kuan Lin, Jing-Ya Zhou, Zhao Liu. BCDC: A High-Performance, Server-Centric Data Center Network[J]. Journal of Computer Science and Technology, 2018, 33(2): 400-416. DOI: 10.1007/s11390-018-1826-3
Citation: Xi Wang, Jian-Xi Fan, Cheng-Kuan Lin, Jing-Ya Zhou, Zhao Liu. BCDC: A High-Performance, Server-Centric Data Center Network[J]. Journal of Computer Science and Technology, 2018, 33(2): 400-416. DOI: 10.1007/s11390-018-1826-3
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BCDC: A High-Performance, Server-Centric Data Center Network

  • 1 School of Computer Science and Technology, Soochow University, Suzhou 215006, China;
    2 School of Software and Services Outsourcing, Suzhou Institute of Industrial Technology, Suzhou 215004, China

Funds: This paper was supported by the National Natural Science Foundation of China under Grant Nos. 61572337, 61702351, and 61602333, the Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Foundation under Grant No. WSNLBKF201701, the China Postdoctoral Science Foundation under Grant No. 172985, the Natural Science Foundation of Jiangsu Higher Education Institutions of China under Grant No. 17KJB520036, the Jiangsu Planned Projects for Postdoctoral Research Funds under Grant No. 1701172B, and the Application Foundation Research of Suzhou of China under Grant No. SYG201653.
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  • Author Bio:

    Xi Wang received his B.S. degree in management science from Jiangsu University, Suzhou, in 2008. He received his M.S. and Ph.D. degrees in computer science from Soochow University, Suzhou, in 2011 and 2015, respectively. He is currently working as a post-doctor in the School of Computer Science and Technology at Soochow University, Suzhou. His research interests include data center networks, parallel and distributed systems, and interconnection architectures

  • Corresponding author:

    Jian-Xi Fan E-mail: jxfan@suda.edu.cn

  • Received Date: May 25, 2017
  • Revised Date: December 27, 2017
  • Published Date: March 04, 2018
    Abstract
  • The capability of the data center network largely decides the performance of cloud computing. However, the number of servers in the data center network becomes increasingly huge, because of the continuous growth of the application requirements. The performance improvement of cloud computing faces great challenges of how to connect a large number of servers in building a data center network with promising performance. Traditional tree-based data center networks have issues of bandwidth bottleneck, failure of single switch, etc. Recently proposed data center networks such as DCell, FiConn, and BCube, have larger bandwidth and better fault-tolerance with respect to traditional tree-based data center networks. Nonetheless, for DCell and FiConn, the fault-tolerant length of path between servers increases in case of failure of switches; BCube requires higher performance in switches when its scale is enlarged. Based on the above considerations, we propose a new server-centric data center network, called BCDC, based on crossed cube with excellent performance. Then, we study the connectivity of BCDC networks. Furthermore, we propose communication algorithms and fault-tolerant routing algorithm of BCDC networks. Moreover, we analyze the performance and time complexities of the proposed algorithms in BCDC networks. Our research will provide the basis for design and implementation of a new family of data center networks.
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    • References (44)
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