A Hierarchical and Multiscale Analysis of E-Business Workloads

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dc.citation.bibtexNamearticleen_US
dc.citation.journalTitlePerformance Evaluationen_US
dc.contributor.authorMenascé, Danielen_US
dc.contributor.authorAlmeida, Virgilioen_US
dc.contributor.authorRiedi, Rudolf H.en_US
dc.contributor.orgCenter for Multimedia Communications (http://cmc.rice.edu/)en_US
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)en_US
dc.date.accessioned2007-10-31T00:53:06Z
dc.date.available2007-10-31T00:53:06Z
dc.date.issued2002-01-15en
dc.date.modified2002-12-05en_US
dc.date.submitted2002-12-05en_US
dc.descriptionJournal Paperen_US
dc.description.abstractUnderstanding 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.en_US
dc.description.sponsorshipNational Science Foundationen_US
dc.identifier.citationD. Menascé, V. Almeida and R. H. Riedi, "A Hierarchical and Multiscale Analysis of E-Business Workloads," <i>Performance Evaluation,</i> 2002.
dc.identifier.urihttps://hdl.handle.net/1911/20091
dc.language.isoeng
dc.subjectE-business*
dc.subjectWWW*
dc.subjectworkload characterization*
dc.subjectperformance modeling*
dc.subjectheavy-tailed distribution*
dc.subject.keyworde-businessen_US
dc.subject.keywordWWWen_US
dc.subject.keywordworkload characterizationen_US
dc.subject.keywordperformance modelingen_US
dc.subject.keywordheavy-tailed distributionen_US
dc.subject.otherwavelet based signal/image processingen_US
dc.subject.othermultiscale methodsen_US
dc.subject.otherSignal Processing for Networkingen_US
dc.titleA Hierarchical and Multiscale Analysis of E-Business Workloadsen_US
dc.typeJournal article
dc.type.dcmiText
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