• DocumentCode
    644322
  • Title

    Randomized interconnection networks in clouds

  • Author

    Hung-Chang Hsiao ; Yu-Chang Chao ; Cheng-Lung Chu

  • Author_Institution
    Computer Science and Information Engineering, National Cheng Kung University, Tainan 70101, Taiwan
  • fYear
    2013
  • fDate
    25-27 Sept. 2013
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Data center networks are large-scaled interconnects which demand high scalability and fault tolerance. Production systems highly depend on regular structures (e.g., the FAT tree) to organize servers in direct networks (or switches in indirect networks). While the recent proposals are scalable to accommodate an increasing number of servers added to the system, the regular topologies are not flexible as servers (or switches) cannot be interconnected freely and installation errors may incur due to network operators, thus increasing their provisioning and maintenance costs. In this paper, we present a randomized topology for data center network. Our proposed network is not only scalable and fault-tolerant, but supports flexible provisioning. Servers (or switches) can link to one another in some probability. Our proposed networks exhibit nice properties, including the exploitation of geographical hierarchy and the low diameter of the networks. We assess our proposal in rigorous theoretical analysis.
  • Keywords
    Artificial neural networks; Navigation; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2013 15th Asia-Pacific
  • Conference_Location
    Hiroshima, Japan
  • Type

    conf

  • Filename
    6665234