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 :
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