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dc.contributor.authorMenascé, Daniel
Almeida, Virgilio
Riedi, Rudolf H.
dc.creatorMenascé, Daniel
Almeida, Virgilio
Riedi, Rudolf H.
dc.date.accessioned 2007-10-31T00:53:06Z
dc.date.available 2007-10-31T00:53:06Z
dc.date.issued 2002-01-15
dc.date.submitted 2002-12-05
dc.identifier.urihttps://hdl.handle.net/1911/20091
dc.description Journal Paper
dc.description.abstract Understanding the nature and characteristics of E-business workloads is a crucial step to improve the quality of service offered to customers in electronic business environments. Using a multi-layer hierarchical model, this paper presents a detailed multiscale characterization of the workload of two actual E-business sites: an online bookstore and an electronic auction site. Our analysis of the workloads showed that the session length, measured in number of requests to execute E-business functions, is heavy-tailed, especially for sites subject to requests generated by robots. An overwhelming majority of the sessions consists of only a handful requests. This seems to suggest that most customers are human (as opposed to robots). A significant fraction of the functions requested by customers were found to be product selection functions as opposed to product ordering. An analysis of the popularity of search terms revealed that it follows a Zipf distribution. However, Zipf's law as applied to E-business is time scale dependent due to the shift in popularity of search terms. We also found that requests to execute frequent E-business functions exhibit a similar pattern of behavior as observed for the total number of HTTP requests. Finally, our analysis demonstrated that there is a strong correlation in the arrival process at the HTTP request level. These correlations are particularly stronger at intermediate time scales of a few minutes.
dc.description.sponsorship National Science Foundation
dc.language.iso eng
dc.subjectE-business
WWW
workload characterization
performance modeling
heavy-tailed distribution
dc.subject.otherwavelet based signal/image processing
multiscale methods
Signal Processing for Networking
dc.title A Hierarchical and Multiscale Analysis of E-Business Workloads
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle Performance Evaluation
dc.date.modified 2002-12-05
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keyworde-business
WWW
workload characterization
performance modeling
heavy-tailed distribution
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation D. Menascé, V. Almeida and R. H. Riedi, "A Hierarchical and Multiscale Analysis of E-Business Workloads," Performance Evaluation, 2002.


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  • CMC Publications [268]
    Publications by Rice Faculty and graduate students in multimedia communications
  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1278]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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