• DocumentCode
    784094
  • Title

    Workload characterization

  • Author

    Menascé, Daniel A.

  • Author_Institution
    George Mason Univ., Fairfax, VA, USA
  • Volume
    7
  • Issue
    5
  • fYear
    2003
  • Firstpage
    89
  • Lastpage
    92
  • Abstract
    Analyzing an e-commerce site´s scalability requires a solid understanding of its workload characteristics, but this characterization must occur at multiple levels and time scales. The author and colleagues have performed several workload characterization studies, including auction sites. Here, I present the general method we adopted and a few examples of the workload characterizations we studied.
  • Keywords
    electronic commerce; auction sites; e-commerce site scalability analysis; workload characterization; Clustering algorithms; Electronic commerce; Fractals; Marketing and sales; Navigation; Nonhomogeneous media; Performance analysis; Protocols; Shape; Solids;
  • fLanguage
    English
  • Journal_Title
    Internet Computing, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7801
  • Type

    jour

  • DOI
    10.1109/MIC.2003.1232524
  • Filename
    1232524
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=784094