• DocumentCode
    1910896
  • Title

    Link Gradients: Predicting the Impact of Network Latency on Multitier Applications

  • Author

    Chen, Shuyi ; Joshi, Kaustubh R. ; Hiltunen, Matti A. ; Sanders, William H. ; Schlichting, Richard D.

  • Author_Institution
    Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL
  • fYear
    2009
  • fDate
    19-25 April 2009
  • Firstpage
    2258
  • Lastpage
    2266
  • Abstract
    Geographically dispersed deployments of large and complex multitier enterprise applications introduce many challenges, including those involved in predicting the impact of network latency on end-to-end transaction response times. Here, a measurement-based approach to quantifying this impact using a new metric called the link gradient is presented. A non-intrusive technique for measuring the link gradient in running systems using delay injection and spectral analysis is presented, along with experimental results on PlanetLab that demonstrate that the link gradient can be used to predict end-to-end responsiveness, even in new and untested application configurations.
  • Keywords
    Web services; software metrics; PlanetLab; complex multitier enterprise; end-to-end transaction response; geographically dispersed deployments; link gradients; measurement-based approach; network latency; nonintrusive technique; spectral analysis; Application software; Communications Society; Delay systems; Extraterrestrial measurements; Laboratories; Network servers; Spectral analysis; Transaction databases; USA Councils; Web server;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM 2009, IEEE
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4244-3512-8
  • Electronic_ISBN
    0743-166X
  • Type

    conf

  • DOI
    10.1109/INFCOM.2009.5062151
  • Filename
    5062151