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Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (SERA'05)
Client-Class based Admission Control Algorithm in Web Server Using Cluster Analysis
Central Michigan University, Mount Pleasant, Michigan
August 11-August 13
ISBN: 0-7695-2297-1
ASCII Text
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Hea-Sook Park, Eun-Kyung Jung, Doo-Kwon Baik, "Client-Class based Admission Control Algorithm in Web Server Using Cluster Analysis," Software Engineering Research, Management and Applications, ACIS International Conference on, pp. 424-430, Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (SERA'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/SERA.2005.29,
author = {Hea-Sook Park and Eun-Kyung Jung and Doo-Kwon Baik},
title = {Client-Class based Admission Control Algorithm in Web Server Using Cluster Analysis},
journal ={Software Engineering Research, Management and Applications, ACIS International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2297-1},
pages = {424-430},
doi = {http://doi.ieeecomputersociety.org/10.1109/SERA.2005.29},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Software Engineering Research, Management and Applications, ACIS International Conference on
TI - Client-Class based Admission Control Algorithm in Web Server Using Cluster Analysis
SN - 0-7695-2297-1
SP424
EP430
A1 - Hea-Sook Park,
A1 - Eun-Kyung Jung,
A1 - Doo-Kwon Baik,
PY - 2005
KW - null
VL - 0
JA - Software Engineering Research, Management and Applications, ACIS International Conference on
ER -
 
Hea-Sook Park, Kyungin Women?s College
Eun-Kyung Jung, Iteaching Corp., Seoul, Korea
Doo-Kwon Baik, Korea University

This paper analyzes the level of contribution vis-?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 TwoStep 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.

Citation:
Hea-Sook Park, Eun-Kyung Jung, Doo-Kwon Baik, "Client-Class based Admission Control Algorithm in Web Server Using Cluster Analysis," sera, pp.424-430, Third ACIS Int'l Conference on Software Engineering Research, Management and Applications (SERA'05), 2005
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