This part of classes aims at introducing the basic techniques for performance evaluation of Telecommunication Networks and the models that are at the basis of Traffic Engineering in the Internet. It includes Markov Chain models and elements of queueing theory.
The course aims at providing theoretical and practical knowledge about telecommunication network architectures, methodologies for Quality of Service, modelling, and performance evaluation. The objective of the second part (M2) is to enable the student understand Markov chains and the basics of queueing theory applied to the modelling of telecommunication networks and of the Internet in particular.
At the end of this part of the course, the student should be able to:
Combination of traditional lectures (40 hours), and laboratory experience in matching modeling and measurements
Course material on Aulaweb (https://www.aulaweb.unige.it): F. Davoli, “Lecture Notes for the Courses of Telecommunication Networks – Queueing Theory and Teletraffic”.
The parts of the notes required for this class are i) Basic queueing theory, including Markovian and M/G/1 queues, server vacation, priority queueing, and the contents of the two appendices on Markov Chains and on the Pareto distribution, along with applications to various telecommunication systems; ii) Jackson queueing networks and Kleinrock's delay formula.
Ricevimento: Appointment upon students' requests.
IGOR BISIO (President)
FRANCO DAVOLI (President)
MARIO MARCHESE (President)
2nd semester 2016/17.
ARCHITECTURES AND APPLICATIONS FOR TLC NETWORKS MODULE 2
Written and oral (discussion on the results of the written test); periodic evaluation during the class (written tests).
Solution capacity of simple modeling and performance evaluation problems.