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Queueing Theory I.

Tömegkiszolgálás I.
A tantárgyleírás hatályossága
Hatályosság kezdete:
2026. March 21.
Hatályosság vége:
—
Subject name (Hungarian, English)
Tömegkiszolgálás I.
Queueing Theory I.
Subject code BMEVITTD069
Subject type —
Training Level —
Course types and hours (weekly/semester)
Course type lecture tutorial laboratory
hours (weekly) 4 0 0
type (linked/independent) — — —
Assessment type vizsga
Credits 5
Subject coordinator
DR. Molnár Sándor
position: egyetemi docens
Responsible department
Távközlési és Mesterséges Intelligencia Tanszék
Faculty Villamosmérnöki és Informatikai Kar
Subject website —
Primary curriculum type —
Direct prerequisites – Strong prerequisite none
Direct prerequisites – Weak prerequisite none
Direct prerequisites – Parallel prerequisite none
Direct prerequisites – Milestone prerequisite none
Direct prerequisites – Exclusion none

Objectives

Programme

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

No objectives provided.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

lecture

Tanulástámogató anyagok

Online források
L. Kleinrock: Queueing Systems I-II.D. Cox, P A W Lewis: Statistical Analysis of Series of EventsH. Bruneel: Discrete Time Models for Communication NetworksH. Tijms, A First Course in Stochastic Models M. Welzl, Network Congestion Control: Managing Internet Traffic K. Park, W. Willinger, Self-Similar Network Traffic and Performance Evaluation; Selected conference and journal publications from recent literature

Recommended preliminary knowledge for completing the subject

Knowledge type competencies
(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
Stochastic processes Basics of infocommunication networks
Skill type competencies
(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)
nincs
Recommended (non-compulsory) preliminary competencies
(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)
Stochastic processes Basics of infocommunication networks
General rules
Requirements: Exam
Assessment methods
In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses

Not provided.

Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements
Requirements valid from:
—
Requirements valid until:
—
Curriculum placement

No curriculum placements recorded for this subject version.