Unit DISTRIBUTED AND PARALLEL SYSTEMS
- Course
- Informatics
- Study-unit Code
- A002069
- Curriculum
- In all curricula
- Teacher
- Francesco Sportolari
- Teachers
-
- Francesco Sportolari
- Hours
- 47 ore - Francesco Sportolari
- CFU
- 6
- Course Regulation
- Coorte 2023
- Offered
- 2025/26
- Learning activities
- Caratterizzante
- Area
- Discipline informatiche
- Sector
- INF/01
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- Introduction to distributed systems. Principles and objectives of distributed systems.
Distributed system architectures and middleware.
Processes, client/server architecture, and virtualization.
Communication in distributed systems (RPC, messaging, REST API).
An overview of synchronization and coordination in distributed systems.
Resource naming in distributed systems.
Data consistency and replication.
Fault management in distributed systems.
An overview of security in distributed systems. - Reference texts
- M. van Steen, A. S. Tanenbaum, DISTRIBUTED SYSTEMS 4th Ed.
Material provided by the teacher - Educational objectives
- Understanding of the main technologies in the field of distributed systems and ability to design complex systems.
- Prerequisites
- Basic knowledge of Python and/or Javascript languages, TCP/IP stack, CLI Linux
- Teaching methods
- Classroom lectures
Practical laboratory lessons
Flipped lessons
Cooperative groups - Other information
- Course website:
www.unistudium.unipg.it
Exams agenda:
www.dmi.unipg.it - Learning verification modality
- Written exam with multiple-choice questions + oral exam (project submission)
For information on support services for students with disabilities and/or learning disabilities, visit the page http://www.unipg.it/disabilita-e-dsa - Extended program
- Introduction to distributed systems. Principles and objectives of distributed systems.
Distributed system architectures and middleware.
Processes, client/server architecture, and virtualization.
Communication in distributed systems (RPC, messaging, REST API).
An overview of synchronization and coordination in distributed systems.
Resource naming in distributed systems.
Data consistency and replication.
Fault management in distributed systems.
An overview of security in distributed systems.
Container virtualization will be explored in depth, particularly Docker.
Some middleware architectures in Python and NodeJS (Javascript) will also be analyzed.