• DocumentCode
    66329
  • Title

    All-to-All Communication in Random Regular Directed Graphs

  • Author

    Joohwan Kim ; Ghayoori, Arash ; Srikant, R.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Illinois at UrbanaChampaign, Urbana, IL, USA
  • Volume
    1
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan.-June 1 2014
  • Firstpage
    43
  • Lastpage
    52
  • Abstract
    We consider networks formed by the union of M random 1-regular directed graphs. These graphs are also called permutation models in the literature. We first present a proof showing that the expansion factor of such graphs is greater than or equal to log N a.a.s when M > 4 log N; where N is the number of nodes in the network. The reason for considering such random graph models is their applicability in the design of peer-to-peer networks and data center networks of switches. Assuming that each node in the network has upload and download capacities greater than 8 log N; we also show that the above result implies that all-to-all communication is possible in such a network, if the total incoming data rate and the total outgoing data rate at each node are both less than or equal to 1.
  • Keywords
    computational complexity; directed graphs; network theory (graphs); random processes; O(log N) time complexity; all-to-all communication; data center network design; graph expansion factor; network download capacities; network nodes; network upload capacities; peer-to-peer network design; permutation models; random 1-regular directed graphs; total incoming data rate; total outgoing data rate; Data models; Graph theory; Network topology; Peer-to-peer computing; Unicast;
  • fLanguage
    English
  • Journal_Title
    Network Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2327-4697
  • Type

    jour

  • DOI
    10.1109/TNSE.2014.2376777
  • Filename
    6971166