Paper Info
Title
Client-class based admission control algorithm in Web server using cluster analysis
Abstract
This paper analyzes the level of contribution vis-a-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. 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.
Year
DOI
Venue
2005
10.1109/SERA.2005.29
SERA
Keywords
Field
DocType
crm,web server,media server,contribution level,multimedia contents service,client-server system,media server resource,client request filtering system,crfs issues admission,resource limit,twostep cluster method,telecommunication congestion control,resource allocation,content management,cluster analysis,admission control algorithm,internet,client-server systems,client-class based admission control algorithm,customer relationship management,new algorithm,multimedia servers,multimedia content services,profitability
Customer relationship management,Cluster (physics),Computer science,Computer network,Admission control algorithm,Resource allocation,Content management,Database,CRFS,The Internet,Web server
Conference
ISBN
Citations 
PageRank 
0-7695-2297-1
0
0.34
References 
Authors
4
3
Name
Order
Citations
PageRank
Hea-Sook Park1286.52
Eun-Kyung Jung200.34
Doo-Kwon Baik343377.47