Advanced Computer Networking
The lecture presents advanced concepts for building computer networks. Examinations of network protocols and network algorithms are the foundation of this lecture. Basic techniques for the construction of local area networks (LAN) and wide area networks (WAN) are explained. Mechanisms and protocols for inter-domain and intra-domain routing are discussed and possible attack scenarios are demonstrated. Concepts and mechanisms of modern transport layer protocols are presented. Furthermore, different tunneling protocols for networks are discussed. Measurements of single network nodes and Internet-wide measurements are introduced and explained. Modern techniques (OpenFlow, P4) for software-based packet processing are demonstrated.
After the course has started, the lecture material including exercise sheets can be found at http://acn.net.in.tum.de.
In the Moodle course we will post some material with special copyrights that we cannot put into the regular material repository. At the beginning of the semester you can upload your SSH public key in the Moodle course. This allows you to take part in the exercise and the project. You will get access to your git repository with your SSH key.
During the semester we will hand out exercise sheets. After a preparation time of one week, exercises are handed in (via git repository) the first time and we will discuss the results in class. A week after the discussion, exercises must be corrected by yourself and handed in for a second time (also via git repository). The first and the second correction are graded afterwards. Overall you can earn up to 60 credits for the grade bonus from the exercise.
During the semester you will implement your own software router based on the packet processing framework DPDK. For this project we will provide you with several VMs hosted on servers of our chair. There will be graded milestones in this project. Overall you can earn up to 10 credits for the grade bonus from the project.
Please register for the course and exam in TUMonline.