For beginning graduate students. Tools and techniques used in the evaluation of the performance of computing systems, empirical modeling, methods, simulation models, deterministic and stochastic methods. Students will extend course topics via library assignments or other instructor assigned requirements. For beginning graduate students and advanced undergraduates. May be repeated up to 12 credits.
Topics reflect broader interests than covered in a standard course.
Students will be expected to make presentations of material extracted from current trade publications. May be repeated up to 12 credits. Tools and techniques for predicting and improving the performance of computing systems. Examines the performance impact of the processing environment, application structures and communications requirements. Presents tools available from queuing theory and other mathematical disciplines.