  Contemporary ways of doing business are heavily dependent on the
e-Commerce/e-Business paradigm. The highest priority of an e-Commerce Web
site's management is to assure pertinent Quality-of-Service (QoS) levels of
their Web services continually, in order to keep the potential e-Customers
satisfied. Otherwise, it faces an immense possibility of losing both
e-Customers and revenues, along with a big possibility of gaining bad
reputation due to either poor performance or unavailability of the e-Commerce
Web site. In order to avoid numerous unpleasant consequences, by designing and
implementing e-Commerce Web sites that will always meet e-Customer's high
expectations, a relevant performance models have to be utilized to obtain
appropriate performance metrics. A continuous assessment of current
performances and especially predicting future needs are the subjects of
capacity planning methodologies. Within this paper, such a predictive model has
been described and evaluated by using discrete-event simulation of both the
client-side and server-side processes involved. In addition, the paper
discusses the performance metrics obtained as a function of the intensity and
quality of the workload parameters.
