• DocumentCode
    1187129
  • Title

    The variation of optimal bandwidth and buffer allocation with the number of sources

  • Author

    Jordan, Scott ; Jogi, Kalpana ; Shi, Chunlin ; Sidhu, Ikhlaq

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Irvine, CA, USA
  • Volume
    12
  • Issue
    6
  • fYear
    2004
  • Firstpage
    1093
  • Lastpage
    1104
  • Abstract
    We consider a single node which multiplexes a large number of traffic sources. We ask a simple question: how do the optimal allocations of bandwidth and buffer vary with the number of sources? We investigate this issue using previous results on the probability of overflow for an aggregate of i.i.d. flows, e.g., overflow resulting from effective bandwidth models. We wish to determine the variation of the minimum cost allocations of bandwidth and buffer with the number of sources, given a cost per unit of each resource. We first consider a class of on/off fluid flows. We find that the optimal bandwidth allocation above the mean rate and the optimal buffer allocation are both proportional to the square root of the number of sources. Correspondingly, we find that the excess cost incurred by a fixed buffer allocation or by linear buffer allocations is proportional to the square of the percentage difference between the assumed number of sources and the actual number of sources and to the square root of the number of sources. We next consider a class of general i.i.d. sources for which the aggregate effective bandwidth is a decreasing convex function of buffer and linearly proportional to the number of sources. We find that the optimal buffer allocation is strictly increasing with the number of sources. Correspondingly, we find that the excess cost incurred by a fixed buffer allocation is an increasing convex function of the difference between the assumed number of sources and the actual number of sources.
  • Keywords
    bandwidth allocation; buffer storage; multiplexing; telecommunication traffic; buffer allocation; on-off fluid flows; optimal bandwidth; traffic sources multiplexing; Aggregates; Bandwidth; Channel allocation; Costs; Delay effects; Delay estimation; Fluid flow; H infinity control; Resource management; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Networking, IEEE/ACM Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6692
  • Type

    jour

  • DOI
    10.1109/TNET.2004.838603
  • Filename
    1369296