Internet Traffic Measurements and Measurement Analysis - Timetable

Lecture Schedule

Fourth period begins on 13.3.2006.

Lecture days - Lecture hall S3 on thursdays

9-11 Lecture I
12-14 Lecture II

Date	Lecture topic	Lecturer	Materials	Other
Week 11: 16.3.2006	Lecture I: Introduction and basics of Internet measurements	Mika Ilvesmäki	slides 151K	-
Week 11: 16.3.2006	Lecture II: Measurement analysis basics I	Mika Ilvesmäki	slides 129K	Chapter 2 of the course textbook draft dealing with the statistical mathematics needed during the course.
Week 12: 23.3.2006	Lecture I: Measurement analysis basics II	Mika Ilvesmäki	slides 240K
Week 12: 23.3.2006	Lecture II: Packet measurements (delay, bandwdith and packet loss)	Mika Ilvesmäki	slides 104K	-
Week 13: 30.3.2006	Lecture I: Flow measurements	Mika Ilvesmäki	slides 157K	-
Week 13: 30.3.2006	Case Lecture: Combining packet and flow measurements	Mika Ilvesmäki	slides 300K	-
Week 14: 6.4.2006	Lecture I: Measurements in wireless environments	Mika Ilvesmäki	slides 99K	-
Week 14: 6.4.2006	Lecture II: Application and TCP measurements	Markus Peuhkuri	slides 111K	-
Week 15: 20.4.2006	Case Lecture: FUNET measurements	Markus Peuhkuri	slides 214K	-
Week 15: 20.4.2006	Lecture II: Traffic measurements and Finnish legislation	Markus Peuhkuri	slides 61K	-
Week 17: 27.4.2006	Lecture I: Measurement equipment and measurement setups	Marko Luoma	slides 128K	-
Week 17: 27.4.2006	Lecture II: Benchmarking routers and networking subsystems	Marko Luoma		-

Exercise Schedule

The general exercise procedure.

Exercise days

Exercise dates, times and location are in the table below. The first four exercise sessions will be held in room F402 of the Department of Electrical and Communications Engineering.

In the first four sessions the teacher is present to advise you and get you and your group started on the problems. No lecturing or big demonstration settings. You may start your work on exercises I-IV beforehand. Be sure to familiarize yourself with the exercise procedure. There are 12 Windows-workstations in F402, so be prepared to group with other students (preferably with your exercise group).

Due to the exercise arrangements concerning exercises I-IV, reserve time to get together with your group and plan & organize your group work beforehand.

Date, time and place Exercise topic Lecturer Materials Other
20.3.2006, 12-14, F402/ee Exercise I: Introduction to measurement analysis Mika Ilvesmäki Exercise document Exercise notes
27.3.2006, 12-14, F402/ee Exercise II: Basic measurement analysis Mika Ilvesmäki Exercise document Chapter 2 of the course textbook draft dealing with the statistical mathematics needed during the course.
Tips to improve your work
3.4.2006, 12-14, F402/ee Exercise III: Correlations Mika Ilvesmäki Exercise document Tips to improve your work
10.4.2006, 14-16, F402/ee Exercise IV: Self-similarity Mika Ilvesmäki Exercise document Leland et. al: On the self-similar nature of Ethernet traffic (extended version)
Estimating Hurst parameter
Traffic measurement and analysis
Graphical methods for Estimating Hurst parameter of self-similar network traffic
On the Stochastic and Self-simimalr nature of highway traffic data
Tips to improve your work

Date, time and place	Exercise topic	Lecturer	Materials	Other
20.3.2006, 12-14, F402/ee	Exercise I: Introduction to measurement analysis	Mika Ilvesmäki	Exercise document	Exercise notes
27.3.2006, 12-14, F402/ee	Exercise II: Basic measurement analysis	Mika Ilvesmäki	Exercise document	Chapter 2 of the course textbook draft dealing with the statistical mathematics needed during the course. Tips to improve your work
3.4.2006, 12-14, F402/ee	Exercise III: Correlations	Mika Ilvesmäki	Exercise document	Tips to improve your work
10.4.2006, 14-16, F402/ee	Exercise IV: Self-similarity	Mika Ilvesmäki	Exercise document	Leland et. al: On the self-similar nature of Ethernet traffic (extended version) Estimating Hurst parameter Traffic measurement and analysis Graphical methods for Estimating Hurst parameter of self-similar network traffic On the Stochastic and Self-simimalr nature of highway traffic data Tips to improve your work

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URI: http://www.netlab.tkk.fi/opetus/s383183/k06/schedule.shtml
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