| Fine grain performance evaluation of e-commerce sites |
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ACM SIGMETRICS Performance Evaluation Review
archive
Volume 32 , Issue 3 (December 2004)
table of contents
SPECIAL ISSUE: E-commerce
table of contents
Pages: 14 - 23
Year of Publication: 2004
ISSN:0163-5999
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Downloads (6 Weeks): 3, Downloads (12 Months): 21, Citation Count: 0
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ABSTRACT
E-commerce sites are still a reference for the Web technology in terms of complexity and performance requirements, including availability and scalability. In this paper we show that a coarse grain analysis, that is used in most performance studies, may lead to incomplete or false deductions about the behavior of the hardware and software components supporting e-commerce sites. Through a fine grain performance evaluation of a medium size e-commerce site, we find some interesting results that demonstrate the importance of an analysis approach that is carried out at the software function level with the combination of distribution oriented metrics instead of average values.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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