structure of the course
child courses
pages
forums
learning outcomes
At the end of the course, students got acquainted with the fundamental issues of distributed systems, the computational models capturing their essence, and the technologies currently helping facing them in the most systematic and effective way. In particular, students become familiar with the fittest solutions, technologies, architectures, and methodologies to design distributed systems, and is capable of
- devising out the most critical aspects of distributed systems coming from physical distribution
- determining the most proper methodological approaches
- selecting the fittest technologies for implementing the solutions detected
course contents
- Case Studies
CAP Theorem . Distributed Consensus . Distributed Ledger Technology: Blockchain as Middleware . General Issues of Distributed Systems - Roots of Distributed Systems: Space, Time & Computation • Goals & Issues of Distributed Systems . Sorts of Distributed Systems • Modelling Distributed Systems: (a) Process Algebra, (b) Software & System Architectures • Features of Distribution • Computing with Time • Computing with Space • Models and Technologies for Distributed Systems
- Agents & Multi-Agent Systems
Cloud, Fog, Edge Computing • Web Services
teaching methods
- Lessons with slides
- Examples discussed and built by the teachers
- Lab activity
assessment methods
- Oral discussion of an individual/group project
course series
works as
parent course