| Preserving QoS of e-commerce sites through self-tuning: a performance model approach |
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Electronic Commerce
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Proceedings of the 3rd ACM conference on Electronic Commerce
table of contents
Tampa, Florida, USA
Pages: 224 - 234
Year of Publication: 2001
ISBN:1-58113-387-1
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Downloads (6 Weeks): 7, Downloads (12 Months): 65, Citation Count: 17
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ABSTRACT
The Quality of Service (QoS) of e-commerce sites plays a crucial role in attracting and retaining customers. The workload experienced by these sites tends to vary in a very dynamic way. The complexity of the sites combined with the large short-terms variations of the workload calls for automated methods for site configuration. This paper describes a method for dynamically monitoring and tuning e-commerce sites so that desired QoS levels are attained. Our approach uses hill climbing techniques combined with analytic queuing models to guide the search for the best combination of configuration parameters. We validate our approach in an experimental setting by comparing the QoS levels of a TPC-W e-commerce site with and without control. We showed that under increasing loads, the controlled system meets its QoS goals, while the uncontrolled site fails to do so.
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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CITED BY 17
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Sarel Aiber , Dagan Gilat , Ariel Landau , Natalia Razinkov , Aviad Sela , Segev Wasserkrug, Business objective based resource management, Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, May 19-21, 2004, New York, NY, USA
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Jonathan Wildstrom , Peter Stone , Emmett Witchel , Mike Dahlin, Machine learning for on-line hardware reconfiguration, Proceedings of the 20th international joint conference on Artifical intelligence, p.1113-1118, January 06-12, 2007, Hyderabad, India
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