TDT02 - Advanced, distributed systems (Autumn 2025)

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Advanced, distributed systems (Autumn 2025)

Svein Erik Bratsberg is the responsible teacher for the course. For more information, email (sveinbra at ntnu.no).

Course

Since we cannot use home exams anymore due to LLMs, exam has probably to be oral. The idea with this course is that you are taking a project within databases. Even if the course name is Advanced, distributed systems, this course is the sole course as far as we know within databases. It is important that you have completed TDT4225 to take this course. This course is a colloquium. We have planned 3 meetings. Startup is 18. Sep. Everything is probably going to be virtual through Teams, since we have lost our meeting rooms in IT-vest.

• 18 Sep 2.15-3.00, Teams, Startup, who presents which articles
• 9 Oct 2.15-4pm, Teams, Aksel og Andreas, Jesper, Pia
• 30 Oct 2.15-4pm, Teams, Hans M og Fredrik, Anders, Nicolai
• 13 Nov 2.15-4pm, Teams, Mats A og Jonas, Mats N, Jakub
• 29 Nov from 09.00AM: Oral exam.

Organization

Each presentation in the colloqium should be about 20 minutes. The slides from the presentations will be linked in from this page. Use either powerpoint or a Google slides or similar. Oral exam on the day decided by the department.

Syllabus

This course is for those who are deaply interested in databases, database technolgy and distributed systems. Since you are especially interested in databases, please send me a suggestion for your favourite database paper. It should be relevant for your project work. Two students could also present a paper together.

This years' papers

1. From Local to Global: A Graph RAG Approach to Query-Focused Summarization, Darren Edge et al., 2025. Pia.
2. From Natural Language Processing to Neural Databases, J. Thorne et al., Nicolai.
3. HDRF: Stream-Based Partitioning for Power-Law Graphs, F- Petroni et al, Hans M and Fredrik.
4. Grouping Time Series for Efficient Columnar Storage, C. Fang et al, Jakub.
5. A Conflict-Free Replicated JSON Datatype M. Kleppmann and A.R. Beresford, Mats N.
6. Trajectory Similarity Measurement: An Efficiency PerspectiveY. Chang et al, Andreas O. and Aksel.
7. Efficient Join Algorithms For Large Database Tables in a Multi-GPU Environment R. Rui et al, Jesper.
8. On The Marriage of Lp-norms and Edit Distance L. Chen an R. Ng, Anders.
9. How Meaningful Are Similarities in Deep Trajectory Representations?, S. Taghizadeh et al, Mats A and Jonas.

A presentation could focus on the following aspects:

1. Motivation -- what problems are solved?
2. Application domain?
3. Methods?
4. Architecture?
5. Test results?
6. Conclusions?
7. Other interesting things??

(Confirmed) Participants in 2025

Pia
Nicolai
Hans M.
Fredrik
Jakub
Mats N.
Andreas O.
Aksel
Jesper
Anders E.
Mats A
Jonas