Advanced Networking (CUGS Core)2017VT
The course will be co-located with TDTS21.
PhD students wanting to learn more about computer networks and distributed systems.
The course was last given
Using a combination of theory and exploration of real data, participants will
gain a deeper understanding of modern computer network infrastructures and
their services. The course complements the basic computer network courses both
in depth and in breadth. Participants successfully completing the course will
have experience and be able to:
- explain, in detail, a wide range of technologies used to build data networks;
- explain using concrete examples fundamental network design principles and scalability tradeoffs;
predict and explain how different networking technologies at the same or different layers interact and affect each other in a large-scale system;
- critically evaluate network technologies with respect to system requirements, based on information from current research and technical documentation;
- design and perform targeted experiments to critically evaluate network technologies;
apply basic system models and analysis methods to analyze systems and networks;
- plan and conduct an extensive study of an identified problem within a selected area of technology, including integrating knowledge from multiple sources such as current research, technical documentation and experiments from real data sources (in some cases collected by the students themselves);
- generalize and synthesize information from multiple sources (and types of sources) in the computer network area to form original and well-motivated conclusions; and
- based on an extensive study, present and explain (both written and orally) findings within a selected area of technology, to an audience with similar general knowledge of computer networks.
Students would benefit from having taken a basic computer networks course (similar to TDTS04, TDTS06, TDTS11 or TDDD93), but pointers to literature to catch up will also be offered.
The precise contents of the course vary slightly from year to year, to keep up with developments in the area. Recurring topics include: Fundamental properties of computer networks (e.g., Power laws, rich-gets-richer); Scalable systems and designs (e.g., hierarchical vs. flat designs; layered designs); Protocol interactions (e.g., between common protocols such as HTTP, TCP, IP, Ethernet, as well as more application/domain specific protocols), Measurement, modeling and analysis methods using real network data; Important modern computer architectures (e.g., cloud services such as EC2, CDNs, the Internet routing architecture itself, smart grids, and social networks).
The course will be co-located with TDTS21. The course consists of both theory (lectures, seminars, and paper discussions) and practical hands-on training and exploration (project). The underlying theme of the course is to use real data and experiments to understand network infrastructures and their services. The course has a written final exam. The project should result in a written report, should be presented in a seminar during which the students will act as both presenters and opponents (evaluating and providing each other with feedback, such as to improve the reports and projects). The course runs over the entire spring semester.
Research papers and literature relevant to this years topics, including some identified by the participants themselves as they complete their in-depth studies.
Written examination, 2.5 ECTS
Project assignment with oral presentation, 3.5 ECTS
Active participation in the seminars is compulsory.
Niklas Carlsson, ADIT
Page responsible: Director of Graduate Studies
Last updated: 2012-05-03