• DocumentCode
    1449380
  • Title

    Performance Improvement Methods for Burst-Switched Networks

  • Author

    Li, C.Y. ; Wai, P.K.A. ; Li, Victor O -K

  • Author_Institution
    Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Hong Kong, China
  • Volume
    3
  • Issue
    2
  • fYear
    2011
  • fDate
    2/1/2011 12:00:00 AM
  • Firstpage
    104
  • Lastpage
    116
  • Abstract
    In this paper, we present a performance model of optical burst switching (OBS) that can explain the degradation of OBS throughput performance when the control packet processing time increases. We then use the proposed performance model to investigate three feasible methods to improve OBS performance without significantly increasing the implementation complexity: addition of simple fiber delay lines (FDLs), random extra offset time, and window-based channel scheduling (WBS). Additional FDLs can eliminate the negative impact caused by the variation of the offset time between control packets and data bursts. The random extra offset time approach does not require any additional hardware and computational capability in the nodes. If higher computational capability is available, WBS in general can provide better throughput improvement than that of random extra offset time when FDLs are used in the nodes to compensate the processing time. Simulation results show that a combination of the proposed methods can significantly improve OBS performance.
  • Keywords
    optical burst switching; scheduling; burst-switched networks; fiber delay lines; optical burst switching; performance improvement methods; window-based channel scheduling; Image color analysis; Optical buffering; Optical fiber networks; Optical switches; Optimized production technology; Process control; Throughput; Control overhead; Offset time; Optical burst switching;
  • fLanguage
    English
  • Journal_Title
    Optical Communications and Networking, IEEE/OSA Journal of
  • Publisher
    ieee
  • ISSN
    1943-0620
  • Type

    jour

  • DOI
    10.1364/JOCN.3.000104
  • Filename
    5712766