Client-class based admission control algorithm in web server using cluster analysis

Hea Sook Park, Eun Kyung Jung, Doo Kwon Baik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper analyzes the level of contribution vis-á-vis the clients' service patterns in multimedia contents services and profits for consolidating a company's profits through the cluster analysis of clients' data applying the Two Step Cluster Method of CRM. And this paper proposes a new algorithm for allocating the media server's resources selectively by clusters using the cluster analysis. Clients were grouped into 4 clusters according to the contribution level in terms of profits. Likewise, the CRFS (Client Request Filtering System) was suggested to allocate media server resources per cluster, CRFS issues admission within the resource limit of the cluster where the client belongs.

Original languageEnglish
Title of host publicationProceedings - Third ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005
Pages424-430
Number of pages7
Volume2005
DOIs
Publication statusPublished - 2005 Dec 1
Event3rd ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005 - Mount Pleasant, MI, United States
Duration: 2005 Aug 112005 Aug 13

Other

Other3rd ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005
CountryUnited States
CityMount Pleasant, MI
Period05/8/1105/8/13

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Park, H. S., Jung, E. K., & Baik, D. K. (2005). Client-class based admission control algorithm in web server using cluster analysis. In Proceedings - Third ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005 (Vol. 2005, pp. 424-430). [1563192] https://doi.org/10.1109/SERA.2005.29