Discovering and Usage of Customer Knowledge in QoS Mechanism for B2C Web Server Systems

The paper deals with the problem of guaranteeing high Quality of Service (QoS) in e-commerce Web servers. We focus on the problem of request admission control and scheduling in a Business-to-Consumer (B2C) Web server from the profit perspective of the owner of an e-business company. We propose extending a Web server system with the ability to identify and favour key customers of a Web store and to ensure the possibility of successful interaction for all customers finalizing their purchase transactions. We propose applying a Recency-Frequency-Monetary analysis (RFM) to discover key customer knowledge and using the resulting RFM scores in a novel QoS mechanism. We discuss the mechanism and some simulation results of its performance.

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