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 language | English |
|---|---|
| Title of host publication | Proceedings - Third ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005 |
| Pages | 424-430 |
| Number of pages | 7 |
| Volume | 2005 |
| DOIs | |
| Publication status | Published - 2005 Dec 1 |
| Event | 3rd ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005 - Mount Pleasant, MI, United States Duration: 2005 Aug 11 → 2005 Aug 13 |
Other
| Other | 3rd ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005 |
|---|---|
| Country | United States |
| City | Mount Pleasant, MI |
| Period | 05/8/11 → 05/8/13 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
Cite this
Client-class based admission control algorithm in web server using cluster analysis. / Park, Hea Sook; Jung, Eun Kyung; Baik, Doo Kwon.
Proceedings - Third ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005. Vol. 2005 2005. p. 424-430 1563192.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Client-class based admission control algorithm in web server using cluster analysis
AU - Park, Hea Sook
AU - Jung, Eun Kyung
AU - Baik, Doo Kwon
PY - 2005/12/1
Y1 - 2005/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33846006956&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846006956&partnerID=8YFLogxK
U2 - 10.1109/SERA.2005.29
DO - 10.1109/SERA.2005.29
M3 - Conference contribution
AN - SCOPUS:33846006956
SN - 0769522971
SN - 9780769522975
VL - 2005
SP - 424
EP - 430
BT - Proceedings - Third ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2005
ER -