• DocumentCode
    1604418
  • Title

    Measurement-based admission control for flow-aware implicit service differentiation

  • Author

    Augé, Jordan ; Oueslat, Sara ; Roberts, James

  • Author_Institution
    CNRS, UPMC Sorbonne Univ., Paris, France
  • fYear
    2011
  • Firstpage
    206
  • Lastpage
    213
  • Abstract
    It has previously been shown that the combined use of fair queuing and admission control would allow the Internet to provide satisfactory quality of service for both streaming and elastic flows without explicitly identifying traffic classes. In this paper we discuss the design of the required measurement based admission control (MBAC) scheme. The context is different to that of previous work on MBAC in that there is no prior knowledge of flow characteristics and there is a twofold objective: to maintain adequate throughput for elastic flows and to ensure low packet latency for any flow whose peak rate is less than a given threshold. In the paper we consider the second objective assuming realistically that most elastic and streaming flows are rate limited. We propose a MBAC algorithm and evaluate its performance by simulation under different stationary traffic mixes and in a flash crowd scenario. The algorithm is shown to offer a satisfactory compromise between flow performance and link utilization.
  • Keywords
    quality of service; queueing theory; telecommunication congestion control; telecommunication traffic; elastic flows; fair queuing; flash crowd scenario; flow-aware implicit service differentiation; link utilization; measurement-based admission control; packet latency; quality of service; streaming flows; traffic classes; Admission control; Aggregates; Algorithm design and analysis; Context; Loss measurement; Mathematical model; Prediction algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Teletraffic Congress (ITC), 2011 23rd International
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4577-1187-9
  • Electronic_ISBN
    978-0-9836283-0-9
  • Type

    conf

  • Filename
    6038483