• DocumentCode
    2720132
  • Title

    On Quantifying Fault Patterns of the Mesh Interconnect Networks

  • Author

    Safaei, F. ; Fathy, M. ; Khonsari, A. ; Ould-Khaoua, M. ; Shafiei, H. ; Khosravipour, S.

  • Author_Institution
    Sch. of Comput. Sci., IPM, Tehran
  • fYear
    2007
  • fDate
    21-23 May 2007
  • Firstpage
    956
  • Lastpage
    961
  • Abstract
    One of the key issues in the design of multiprocessors system-on-chip (MP-SoCs), multicomputers, and peer-to-peer networks is the development of an efficient communication network to provide high throughput and low latency and its ability to survive beyond the failure of individual components. Generally, the faulty components may be coalesced into fault regions, which are classified into convex and concave shapes. In this paper, we propose a mathematical solution for counting the number of common fault patterns in a 2-D mesh interconnect network including both convex (I-shape, II-shape, square-shape) and concave (L-shape, U- shape, T-shape, +-shape, H-shape) regions. The results presented in this paper which have been validated through simulation experiments can play a key role when studying, particularly, the performance analysis of fault-tolerant routing algorithms and measure of a network fault-tolerance expressed as the probability of a disconnection.
  • Keywords
    fault tolerant computing; multiprocessor interconnection networks; peer-to-peer computing; performance evaluation; system-on-chip; fault patterns; fault-tolerant routing; mesh interconnect networks; multicomputers; multiprocessors system-on-chip; peer-to-peer networks; performance analysis; Analytical models; Communication networks; Delay; Fault tolerance; Multiprocessing systems; Peer to peer computing; Performance analysis; Routing; Shape; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications, 2007. AINA '07. 21st International Conference on
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    1550-445X
  • Print_ISBN
    0-7695-2846-5
  • Type

    conf

  • DOI
    10.1109/AINA.2007.98
  • Filename
    4220994