Checking date: 08/01/2016

Versión en español

Course: 2019/2020

Performance evaluation of networks
(16149)
Study: Master in Telematics Engineering (264)
EPI


Coordinating teacher: SERRANO YAÑEZ-MINGOT, PABLO

Department assigned to the subject: Department of Telematic Engineering

Type: Electives
ECTS Credits: 3.0 ECTS

Course: 1º
Semester: 1º



Students are expected to have completed
Basic (i.e., grad) knowledge of probability and statistics. Some previous knowledge about communication systems is also recommended, as they constitute the main cases of study.
Competences and skills that will be acquired and learning results.
Fundamentals of Markov chain theory, and the ability to use the main results to model communication system. Performance analysis and capacity planning of queues and networks of queues, ability to identify weakenesses, bottlenecks and congestion problems. Performance analysis (reliability, goodput) of classic communication systems.
Description of contents: programme
Overview of probability. Exponential random variable and Poisson arrival process Discrete-time Markov chains. Continuous-time Markov chains Queueing theory. Networks of queues.
Learning activities and methodology
The course consists on two types of lectures: 1. theoretical lectures, where the key results will be developed, and 2. practical lectures, where those principles will be used to solve the proposed problems.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Mor Harchol-Balter. Performance Modeling and Design of Computer Systems: Queueing Theory in Action. Cambridge University Press. 2013
Additional Bibliography
  • José Alberto Hernández, Pablo Serrano. Probabilistic models for computer networks: Tools and solved problems. Lulu Press, Inc. 2005

The course syllabus and the academic weekly planning may change due academic events or other reasons.