Introduction . Quantitative analysis of computer systems. Quality of service. Performance and reliability of systems. Definition of performance indices and reliability. Examples.

Introduction to methods and models for quantitative analysis. Modeling and analysis of systems by using models and measurement techniques: analytical methods and simulation techniques. Systems and models for performance evaluation. Classification systems. Introduction to the basic code. Cycle of modeling and development of hierarchical models.

Operational analysis and limitations of the analysis. Fundamental laws: the law of utilization, Little's law, the law of forced flow. Operational analysis for systems represented as a set of interacting resources. Application to models of systems and subsystems. Asymptotic analysis of the performance limitations of the system: open systems and closed systems. Examples of application. Analysis and removal of bottlenecks.

Stochastic models for the quantitative analysis of systems. Queueing system models. Mathematical models of systems based on Markovian stochastic processes. Introduction to the basic queues. Queueing system models: M/M/1 systems, M / M / m, M/G/1. Examples of application of queueing system models for performance evaluation systems. Definitions, solutions and applications for the evaluation of performance and reliability of systems.

Queueing network models. Introduction to queuing network models. Product-form queuing networks. BCMP theorem. Solution algorithms: Convolution and MVA. Examples of analysis of performance and reliability of computer systems and communication network models of queues.

Introduction to simulation models and their application. Events, activities, progress of time. Data structures for simulation.
Planning a simulation experiment. Simulation schemes (event oriented, process oriented).
Generation of pseudorandom numbers and variables. Brief analysis of the results of simulation experiments.
Examples of patterns simulation of computer systems and communication.

• Lazowska E.D., J. Zahorjan, G.S. Graham, K.C. Sevcick "Quantitative System Performance; Computer System Analysis Using Queueing Network Models" Prentice-Hall, 1984.
  available on line: http://www.cs.washington.edu/homes/lazowska/qsp/
  introductory text for performance evaluation of systems with application of the queueing systenm model, operational analytical methods and analytical methods.



• Kleinrock L. "Queueing Systems", Vol 1, Wiley, New York, 1975 (Trad. italiana :"Sistemi a Coda", Hoepli, 1990).
  introductory text to the theory of queues and queueing systems.


• Kant K. "Introduction to Computer System Performance Evaluation" McGraw Hill, Int. Editions, 1992.
  general introductory text for performance evaluation of systems with descriptions of various types of models and solution techniques, especially analytical.


• R.A. Jain "The Art of Computer System Performance Anlaysis", Wiley, 1991.
  introductory text for performance evaluation of systems with measurement techniques, both analytical models and simulation methods.
  


• A.M. Law, W.D. Kelton "Simulation Modeling and Analysis" MacGraw-Hill 1982.
  introductory text to the simulation of discrete systems, refer to the part of the course on discrete event simulation.



• G. Bolch, S. Greiner, H. de Meer and K.S. Trivedi." Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications" John Wiley, New York, NY, 1998.
  introductory text to the Markov models and queueing networks applied for the evaluation of systems performance and reliability. Includes several examples and applications.
  


• J.Y. Le Boudec "Performance Evaluation of Computer and Communication Systems", EPFL Press, CRC Press, 2010. on line link
  introductory text to performance models, model fitting, test, statistical analysis and discrete simulation models, with examples and applications.
  


• In Italian: Dispense
  I - Cap. 1, 2 (parte), 3 (parte), 5.1
  II -Cap. 2 (parte), 3 (parte), 4, 5