Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics

    címtáras azonosítással

    vissza a tantárgylistához   nyomtatható verzió    

    Queueing Theory I.

    A tantárgy neve magyarul / Name of the subject in Hungarian: Tömegkiszolgálás I.

    Last updated: 2016. december 15.

    Budapest University of Technology and Economics
    Faculty of Electrical Engineering and Informatics

    Electrical Engineering

    Software Engineering

    PhD course

    Course ID Semester Assessment Credit Tantárgyfélév
    VITTD069   4/0/0/v 5 1/1
    3. Course coordinator and department Dr. Molnár Sándor,
    4. Instructors

    Dr. Sándor Molnár

    Dr. József Bíró

    5. Required knowledge

    Stochastic processes

    Basics of infocommunication networks

    8. Synopsis

    Traffic characterization and modeling

                    Traffic descriptors

                    Applications of stochastic processes in modeling

                    Study guides for traffic analysis of measured Internet traffic      

    Fractal traffic theory

                    Self-similarity and long-range dependence

                    Heavy-tailed distributions in the Internet

                    Fractal traffic models

    Traffic management and congestion control

                    Traffic management methods

    Open-loop and closed-loop control

                    TCP performance models

    Statistical inequalities, large deviations and their applications to data science

    examples in traffic engineering, risk management and insurance

    resource estimation based on analyzing rare events

    distribution-free estimations of event frequencies

    computational models for large systems

    Large and complex networks

    structural similarities and differences of large complex networks (Internet, airport networks, road network, brain networks, word networks, metabolic networks)

    small-world properties, degree distributions and clustering

    routing and navigability in large networks

    modularity, rich club phenomenon and controllability

    Case studies, examples, analytical and numerical investigations to be performed by Wolfram Mathematica

    9. Method of instruction lecture
    10. Assessment Exam
    12. Consultations On demand
    13. References, textbooks and resources
    1. L. Kleinrock: Queueing Systems I-II.
    2. D. Cox, P A W Lewis: Statistical Analysis of Series of Events
    3. H. Bruneel: Discrete Time Models for Communication Networks
    4. H. Tijms, A First Course in Stochastic Models
    5. M. Welzl, Network Congestion Control: Managing Internet Traffic
    6. K. Park, W. Willinger, Self-Similar Network Traffic and Performance Evaluation
    7. Selected conference and journal publications from recent literature
    14. Required learning hours and assignment
    Kontakt óra 
    Félévközi készülés órákra 
    Felkészülés zárthelyire 
    Házi feladat elkészítése 
    Kijelölt írásos tananyag elsajátítása 
    15. Syllabus prepared by

    Dr. Sándor Molnár

    Dr. Bíró József