Queues and Levy Fluctuation Theory

6 EC

Semester 2, period 4, 5

5334QLFT6Y

Owner Master Mathematics
Coordinator prof. dr. M.R.H. Mandjes
Part of Master Mathematics, year 1Master Stochastics and Financial Mathematics, year 1

Course manual 2017/2018

Course content

The course considers various aspects of queueing systems with Levy input, special cases being the classical M/G/1 queue and reflected Brownian motion. Introducing this class of queues as the solution of a Skorokhod problem, we subsequently characterize its stationary and transient distributions. Emphasis is put on the situation that the driving Levy process is spectrally one-sided; for the two-sided Wiener-Hopf theory is treated (but not in full detail). Then various other performance metrics are considered, such as busy periods and the workload correlation function. Explicit tail asymptotics are provided, which are derived by e.g. inversion techniques and change-of-measure arguments. Then the results are extended to networks of queues, e.g., tandems and feedforward networks. The course concludes by discussing applications in communication networks and mathematical finance.

Objectives

-- Acquiring basic knowledge on Levy-porcesses

-- Conceptual understanding of Levy-driven queues, and the relation to fluctuation theory (e.g. distribution of running maximum)

-- Mastering a variety of techniques that come in useful in this context: transform-based techniques, various types of asymptotics, importance sampling, rate conservation arguments, etc.

-- Analysis of a broad range of performance metrics, such as workload, busy period, etc.

 

Teaching methods

  • Lecture
  • Self-study

Learning activities

Activity

Number of hours

Lecture

26

Zelfstudie

142

Attendance

The programme does not have requirements concerning attendance (OER-B).

Assessment

Item and weight Details

Final grade

0.5 (50%)

Oral exam

0.5 (50%)

Homework

Inspection of assessed work

Contact the course coordinator to make an appointment for inspection.

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.uva.nl/plagiarism

Course structure

Weeknummer Onderwerpen Studiestof
1 Introduction Ch. 1
2 Levy-driven queue, stationary behavior Ch. 2-3
3 Transient behavior Ch. 3-4
4 Heavy traffic Ch. 5
5 Busy period Ch. 6
6 Workload correlation function Ch. 7
7 Asymptotics Ch. 8
8 Transient asymptotics, simulation Ch. 9-10
9 Finite buffer, MAP input Ch. 11
10 Tandem Ch. 12
11 Networks  Ch. 13
12 Communication networks Ch. 14
13 Finance, numerics Ch. 15-16
14    
15    
16    

Timetable

The schedule for this course is published on DataNose.

Contact information

Coordinator

  • prof. dr. M.R.H. Mandjes