Stochastic Network Modeling (SNM)
Fall 2023 Semester
Compulsary course of the Speciality
Computer Networks and Distributed Systems
of the
Master in Innovation and Research in Informatics.
Assessments and Final Exam Dates

First assessment (DTMC): 03/11/2023 13:0015:00 (assessments week)
 Second assessment (CTMC): 28/11/2023 12:0014:00 (lecture time)
 Final exam (all units): 11/01/2023 11:3013:30 (final exams period)
Contact:
Abstract:
The goal of this course is giving the student a background in
stochastic processes and their application to computer networks. This
is a methodological course that forms the student in mathematical
stochastic modeling.
Methodology:
4 hours per week, dedicated to magistral classes to explain the theory
and solve problems. The students activities will consist of reading
material and solving practical problems that will be proposed during
the course.
Timetable
Calendar
Evaluation:
The theory mark will be calculated from the problems delivered by the
student, assessment marks and a final exam mark. The formula for
calculating the mark for the course is:
 NF = 0.1 * NP + 0.15 * max{EF, C1} + 0.15 * max{EF, C2} + 0.60 * EF
where:
 NF = final mark
 EF = final theory exam
 NP = Problems delivered by the students
 C1, C2 = midterm assessments
Teacher
Llorenç CerdàAlabern, llorenc.cerdaupc.edu
Office: C6213
Tel: 93.401.67.98
Contents
 Introduction
 Discrete Time Markov Chains (DTMC)
 Continuous Time Markov Chains (CTMC)
 Queuing Theory
References
 Numerical tools:
 Books
 Performance modeling and design of computer systems:
queueing theory in action.
HarcholBalter,
Mor. Cambridge University Press, 2013.
 Probability, Stochastic Processes and Queuing Theory.
R. Nelson. Spinger, 1995.
 Introduction to probability models.
Sheldon M. Ross. Academic Press, New York, 2003
 Probability and Statistics with Reliability, Queuing, and
Computer Science Applications
Kishor S. Trivedi, John Wiley and Sons, New York, 2001.
 Finite Markov Chains
John G Kemeny, J Laurie Snell. Springer, 1960.
 An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd Edition
William Feller. Wiley, 1968