Modelling and Performance Evaluation of Software Systems

Objectives:

This course will cover the fundamentals of the techniques of modeling and performance evaluation of computer systems and communication networks. Performance measurement, Markov chains, queuing systems and capacity planning are main parts of the course. The practical case studies and application of serveral toolson the field are included.

Syllabus:

1. Fundamentals of Performance Modeling and Evaluation
2. Probability and Random Variables
3. Markov Chains
4. Queueing Systems
5. Operational Laws
6. Server Farms and Capacity Planning
7. Tools and Case Studies

Main Resources

• Harchol-Balter, Mor. Performance Modeling and Design of Computer Systems: Queueing Theory in Action. Cambridge University Press, New York, NY, USA, 1st ed. , 2013.
• Gregg, B. Systems Performance: Enterprise and the Cloud. Prentice Hall, 2013.

 

Additional Resources

• Bolch, G., Greiner, S., de Meer, H. and Trivedi, K.S.: Queuing Networks and Markov Chains, 2^nd ed., Wiley-Intersience (2006)
• Kant, K., Introduction to Computer System Performance Evaluation, McGraw-Hill (1992)
• Gross, Donald, Shortle, John F, Thompson, James M, and Harris, Carl M. Fundamentals of Queueing Theory. Wiley-Interscience, New York, NY, USA, 4th ed. , 2008.