A technique to implement a workload model that must be representative of both static and dynamic characteristics of a workload is presented. The main goal of this work is the construction of a representative and compact workload model. The approach taken is first to assign the set of workload components to classes having homogeneous static (i.e., load- independent) characteristics using clustering and then to model the dynamic sequence of components execution with a suitable stochastic process. The representativeness of such a workload model may be verified applying the physically or the function-oriented criteria for the static aspects and the performance-oriented criterion for the dynamic aspects considered. The results of an experimental application of this technique to model the workload of a university environment are presented.