Distributed Systems 2024/2025
Distributed Systems (Module 1) / slides
lectures
- A0 – About the Course
- M0 – Why Distributed Systems?
- C1 – The CAP Theorem: Availability, Consistency, Failure in Distributed Systems
- M1 – Replication and Consistency in Distributed Systems
- M2 – Dependability in Distributed Systems
- M3 – Roots of Distributed Systems: Computation in Space and Time
- C2 – The Problem of Consensus in Distributed Systems
- M4 – Definitions and Goals for Distributed Systems
- M5 – Sorts of Distributed Systems
- C3 – Distributed Ledger Technology: Blockchain as Middleware
- M6 – Modelling Distributed Systems: Software and System Architectures
- C4 – Representational State Transfer (ReST)
- M7 – Modelling Distributed Systems: Process Algebra
- C5 – Logical Clocks
- M8 – Computing with Time
- M9 – Agents for Distributed Systems
- C6 – Simple Agents in Jade
- C7 – Coordination in Linda
- M10 – Coordination of Distributed Systems
- C8 – Code Mobility
- M11 – Computing with Space
lab
L10 – JADE lab
L11 – TuCSoN lab
Distributed Systems (Module 2) / slides
preliminaries
Python Crash Course (Matteo Magnini)
lab
- Repo – Lab 2: UDP sockets
- Repo – Lab 3: TCP sockets
- Repo – Lab 4: Presentation and RPC
- Repo – Lab 1: PyGame and game loops
- Repo – dpongpy, distributed Pong
slides / course pages
