Computer systems performance evaluation has made impressive progress with the recent advances of systems architectures, e.g., cloud computing, multicore systems, web services, mobile and distributed systems. New techniques and tools have recently been proposed for approaching the challenging problems related to the performance forecast and optimization of these new complex systems. 
The course covers the basics of the evaluation techniques. After a familiarization with the fundamentals of the main techniques, we will analyze several applications that illustrate their use. Studies on the performance evaluation of cloud and exascale computing infrastructures, web service systems, and traffic characterization will be used to reinforce the concepts learned in the class. Java Modelling Tools JMT (open source tools) will be used to solve performance projects.

Basic Knowledge of performance evaluation

1 - Refresh on some basic probability distributions 
2 - Operational Analysis (fundamental laws, operational equilibrium, exercises)
3 - Stations with queue (single and multiple servers, finite queue, general service times distribution)  
4 - Asymptotic analysis (bounds and bottlenecks identification) 
5 - Single-class queuing networks (open, closed, MVA, approximate algorithms) 
6 - Multiple-class queuing networks (MVA, Markov chain, simulation)

The course will be given in English. Questions and Answers will be taken both in english and in italian.

Slides free from the course-site of Beep service.

Probability and statistics

Linear algebra

Evaluation is based on a written exam to be taken at the end of the course. 

the first 7 chapters (free of copyright, from the course-site on Beep service)