Abstract
In the paper, a Quality of Web Service (QoWS) method for a Web server system hosting a retail online store is discussed. The method is based on service differentiation between so-called key customers (KC), evaluated based on their purchase histories, and other, ordinary customers (OC). The second aspect of service differentiation is connected with revenue-related attributes of user sessions at the B2C (Business − to − Consumer) Web site. We consider several scheduling policies for the proposed method and implement them in a simulation environment for a business Web server system. Finally, simulation results of the system performance for these policies compared to FIFO (First In First Out) scheduling are discussed.
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Suchacka, G., Borzemski, L. (2011). A Research Study on Business-Oriented Quality-Driven Request Service in a B2C Web Site. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_43
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DOI: https://doi.org/10.1007/978-3-642-23938-0_43
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