CENG0033 Internet Measurement and Traffic Engineering

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code CENG0033
Name Internet Measurement and Traffic Engineering
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal

This course covers topics in network measurement, ranging from techniques and tools for estimating various delay- and bandwidth-related QoS metrics to bottleneck localization techniques. Fundamental challenges and difficulties existing in the field of network measurement are also addressed.

Course Content

Direct, iterative and mixed probing available bandwidth estimation techniques. Machine learning-based available bandwidth estimation techniques. Single and multiple bottleneck link capacity estimation techniques. Achievable throughput and goodput measurement techniques. Bottleneck localization techniques. Packet loss/delay characterization: statistical models. Characteristics and classification of estimation tools. Challenges and difficulties in network measurement. Measurements on mobile/wireless and high-speed networks. Testbed design, cross-traffic scenarios, and experimental evaluation aspects. Current research directions in network measurement.

Course Precondition

There are no prerequisites.

Resources

1. M. Crovella, Balachander Krishnamurthy, “Internet Measurement: Infrastructure, Traffic and Applications”, John Willy & Sons Ltd., 2006, ISBN: 978-0470014615

Notes

2. Network Management: Principles and Practice; by Mani Subramanian; Addison Wesley; 2000; ISBN 0-201-35742-9


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Ability to understand the capacity and available bandwidth estimation techniques
LO02 Ability to understand the achievable throughput and goodput measurement techniques
LO03 Ability to understand the delay-related metric measurement techniques
LO04 Ability to understand the bottleneck localization techniques
LO05 Ability to characterize and classify various QoS estimation/measurement tools
LO06 Ability to understand the main challenges and difficulties in internet measurements


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal On the basis of the competencies gained at the undergraduate level, it has an advanced level of knowledge and understanding that provides the basis for original studies in the field of Computer Engineering. 5
PLO02 Bilgi - Kuramsal, Olgusal By reaching scientific knowledge in the field of engineering, he/she reaches the knowledge in depth and depth, evaluates, interprets and applies the information. 4
PLO03 Yetkinlikler - Öğrenme Yetkinliği Being aware of the new and developing practices of his / her profession and examining and learning when necessary. 3
PLO04 Yetkinlikler - Öğrenme Yetkinliği Constructs engineering problems, develops methods to solve them and applies innovative methods in solutions. 3
PLO05 Yetkinlikler - Öğrenme Yetkinliği Designs and applies analytical, modeling and experimental based researches, analyzes and interprets complex situations encountered in this process. 4
PLO06 Yetkinlikler - Öğrenme Yetkinliği Develops new and / or original ideas and methods, develops innovative solutions in system, part or process design. 4
PLO07 Beceriler - Bilişsel, Uygulamalı Has the skills of learning. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Being aware of new and emerging applications of Computer Engineering examines and learns them if necessary. 5
PLO09 Beceriler - Bilişsel, Uygulamalı Transmits the processes and results of their studies in written or oral form in the national and international environments outside or outside the field of Computer Engineering. 3
PLO10 Beceriler - Bilişsel, Uygulamalı Has comprehensive knowledge about current techniques and methods and their limitations in Computer Engineering. 2
PLO11 Beceriler - Bilişsel, Uygulamalı Uses information and communication technologies at an advanced level interactively with computer software required by Computer Engineering. 3
PLO12 Bilgi - Kuramsal, Olgusal Observes social, scientific and ethical values in all professional activities.


Week Plan

Week Topic Preparation Methods
1 Introduction to Internet Measurement and Traffic Engineering Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
2 Direct and Iterative Probing Available Bandwidth Estimation Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
3 Mixed/Hybrid Probing Available Bandwidth Estimation Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
4 Machine Learning-Based Available Bandwidth Estimation Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
5 Single and Multiple Bottleneck Capacity Estimation Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
6 Achievable Throughput and Goodput Measurements Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
7 Bottleneck Localization Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Packet Loss/Delay Characterization: Statistical models Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
10 Taxonomy of Tools: Characteristics and Classification Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
11 Challenges and Difficulties in Internet Measurements Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
12 Measurements on Mobile/Wireless and High-Speed Networks Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
13 Testbed Design, Cross-Traffic Scenarios and Experimental Evaluation Aspects Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
14 Ağ Trafiği Dağılımları Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
15 Current Research Directions in Internet Measurements Reading related chapter in lecture notes Öğretim Yöntemleri:
Anlatım
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS