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Preserving QoS of e-commerce sites through self-tuning: a performance model approach
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Source Electronic Commerce archive
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
Authors
Daniel A. Menascé  George Mason University, Fairfax, VA
Daniel Barbará  George Mason University, Fairfax, VA
Ronald Dodge  George Mason University, Fairfax, VA
Sponsor
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
Bibliometrics
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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Transaction Processing Council,The TPC-W Benchmark,www.tpc.org.

CITED BY  17

Collaborative Colleagues:
Daniel A. Menascé: colleagues
Daniel Barbará: colleagues
Ronald Dodge: colleagues