• DocumentCode
    687895
  • Title

    A new class of data center network structures

  • Author

    Jianfei Zhang ; Zhiyi Fang ; Guannan Qu ; Zheng, S.Q.

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    2852
  • Lastpage
    2858
  • Abstract
    Fat trees are considered suitable structures for data center interconnection networking. Such structures are rigid, and hard to scale up and scale out. A good data center network structure should have high scalability, efficient switch utilization, and high reliability. In this paper we present a class of data center network structures based on hypergraph theory and combinatorial block design theory. We show that our data center network structures are more flexible and scalable than fat trees. Using switches of the same size, our data center network structures can connect more nodes than fat trees, and it is possible to construct different structures with trade-offs among inter-cluster communication capacity, reliability, the number of switches used, and the number of connected nodes.
  • Keywords
    computer centres; computer networks; graph theory; combinatorial block design theory; data center interconnection networking; data center network structures; fat trees; hypergraph theory; inter-cluster communication; Bandwidth; Binary trees; Bipartite graph; Educational institutions; Reliability; Servers; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Communications Conference (GLOBECOM), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2013.6831507
  • Filename
    6831507