• DocumentCode
    2127749
  • Title

    Implementing trend identification with least squares method into CommTest on an Intelligent Satellite Services network for throughput measurement

  • Author

    Almuhtadi, Wahab ; Murphy, Devin R. ; Rosberg, Mike

  • Author_Institution
    Algonquin Coll., Ottawa, ON, Canada
  • fYear
    2010
  • fDate
    2-5 May 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    CommTest is an evolution of quality of service performance testing software program called originally “Traffik” and has had recent developments in algorithmic analysis and design. In this paper, CommTest is modified with an addition of a new real-time Trend Identification process incorporating Least Square Methodology (TILSM) as well as new design to incorporate detailed whitebox testing. The TILSM algorithm is tested and verified by comparison to other performance measurement tools. Results generated from tcpdump and Wireshark are analyzed against CommTest results for the performance test metric throughput to evaluate accuracy and precision, with the goal of improving CommTest measurements for an Intelligent Satellite Services (ISS) system beyond established benchmarks. Tests were conducted in virtual network configurations to accommodate ISS Project planning.
  • Keywords
    least squares approximations; performance evaluation; quality of service; satellite communication; telecommunication computing; telecommunication network planning; CommTest; ISS project planning; Traffik; intelligent satellite services network; least squares method; performance testing software program; quality of service; trend identification; Artificial intelligence; Delay; Satellite broadcasting; Satellites; Software; Throughput; ARIMA; CommTest; ISS; TILSM; Traffik; tcpdump;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2010 23rd Canadian Conference on
  • Conference_Location
    Calgary, AB
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4244-5376-4
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2010.5575144
  • Filename
    5575144