• DocumentCode
    353059
  • Title

    A new resource allocation scheme for Gaussian traffic sources

  • Author

    Nagarajan, Krishnamurthy ; Zhou, G. Tong

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2609
  • Abstract
    Communication networks have finite resources (bandwidth, buffer size etc.) that need to be shared among many users. In order to improve the utilization level while providing certain guarantees on the quality of service, the resources have to be allocated intelligently to the users based on the statistical characteristics of the traffic they offer. We propose a new algorithm that is more efficient in allocating resources than existing methods, when the traffic exhibits short and/or long memories. We also provide examples based on synthetic and real traffic data
  • Keywords
    Gaussian processes; quality of service; queueing theory; statistical analysis; telecommunication congestion control; telecommunication networks; telecommunication traffic; Gaussian traffic sources; QoS; VBR video traffic; algorithm; buffer size; communication networks; connection admission control; effective bandwidth theory; long memory traffic; network utilization; quality of service; real traffic data; resource allocation; short memory traffic; single server queue; statistical characteristics; synthetic traffic data; Autocorrelation; Bandwidth; Communication cables; Communication networks; Network servers; Quality of service; Resource management; Switches; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-6293-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2000.861001
  • Filename
    861001