Towards effective web resources management : an empirical study and a web mining approach

S. Y., Irene KWAN

doi:10.1109/CIT.2005.193

Towards effective web resources management : an empirical study and a web mining approach

S. Y., Irene KWAN

Department of Computing and Decision Sciences

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

Abstract

The unpredictable workload generated by surfers on an Electronic commerce (EC) site poses challenges to web sites maintenance. Proactive maintenance on web site is important. This depends much on how to best characterize its workload profile. An EC site would consist of a list of core EC processes, the demand on these EC functions forecast is critical for sustaining the site performance within the Service Level Agreements (SLA). The service demand of on-line functions determines the resources utilization that supports the operations. In e-market, online companies must meet customers' expectation on Quality of Services (QoS) to sustain its profit. This paper attempts to propose a model to proactively anticipating performance problems with the waves of changing customers' demand. A web mining approach is applied on the server's log file of an empirical web site. The resulting knowledge would foster the development of better management on web resources of EC sites.

Original language	English
Title of host publication	Proceedings of the 5th International Conference on Computer and Information Technology, CIT 2005
Publisher	IEEE Computer Society
Pages	182-186
Number of pages	5
DOIs	https://doi.org/10.1109/CIT.2005.193
Publication status	Published - 1 Jan 2005

Bibliographical note

Paper presented at the 5th International Conference on Computer and Information Technology (CIT 2005), 21-23 September 2005, Shanghai, China.

Keywords

Electronic Commerce
Quality of Service
Service Level Agreement
Web Mining

Access to Document

10.1109/CIT.2005.193

Cite this

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title = "Towards effective web resources management : an empirical study and a web mining approach",

abstract = "The unpredictable workload generated by surfers on an Electronic commerce (EC) site poses challenges to web sites maintenance. Proactive maintenance on web site is important. This depends much on how to best characterize its workload profile. An EC site would consist of a list of core EC processes, the demand on these EC functions forecast is critical for sustaining the site performance within the Service Level Agreements (SLA). The service demand of on-line functions determines the resources utilization that supports the operations. In e-market, online companies must meet customers' expectation on Quality of Services (QoS) to sustain its profit. This paper attempts to propose a model to proactively anticipating performance problems with the waves of changing customers' demand. A web mining approach is applied on the server's log file of an empirical web site. The resulting knowledge would foster the development of better management on web resources of EC sites.",

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note = "Paper presented at the 5th International Conference on Computer and Information Technology (CIT 2005), 21-23 September 2005, Shanghai, China.",

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Towards effective web resources management : an empirical study and a web mining approach. / KWAN, S. Y., Irene.
Proceedings of the 5th International Conference on Computer and Information Technology, CIT 2005. IEEE Computer Society, 2005. p. 182-186.

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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AB - The unpredictable workload generated by surfers on an Electronic commerce (EC) site poses challenges to web sites maintenance. Proactive maintenance on web site is important. This depends much on how to best characterize its workload profile. An EC site would consist of a list of core EC processes, the demand on these EC functions forecast is critical for sustaining the site performance within the Service Level Agreements (SLA). The service demand of on-line functions determines the resources utilization that supports the operations. In e-market, online companies must meet customers' expectation on Quality of Services (QoS) to sustain its profit. This paper attempts to propose a model to proactively anticipating performance problems with the waves of changing customers' demand. A web mining approach is applied on the server's log file of an empirical web site. The resulting knowledge would foster the development of better management on web resources of EC sites.

KW - Electronic Commerce

KW - Quality of Service

KW - Service Level Agreement

KW - Web Mining

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M3 - Conference paper (refereed)

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BT - Proceedings of the 5th International Conference on Computer and Information Technology, CIT 2005

PB - IEEE Computer Society

ER -

Towards effective web resources management : an empirical study and a web mining approach

Abstract

Bibliographical note

Keywords

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