Distributed Systems (2017/2018) - Departamento de Informática
Description

This is an optional consolidation course on distributed systems. It provides the basic knowledge on the models, methods and techniques for developing distributed systems.

In the lab classes, students will put the learnt techniques in practice by developing several distributed applications of trivial-to-medium complexity.

Objectives

This is an optional consolidation course on distributed systems. It provides the basic knowledge on the models, methods and techniques for developing distributed systems. As prerequisites students should have previous acquaintance with algorithms, programming, and computer networks.

Knowledge

Know-how

Syllabus

1. Introduction

1.1 Examples, characteristics, challenges

2. Direct communication

2.1 Point-to-point communication

2.2 Multicast

3. Remote invocation

3.1 Model

3.2 Interfaces and data representation

3.3 Protocols and semantics in the presence of faults

3.4 Binding and concurrency in the server

4. Remote invocation in the Internet

4.1 Web-services

4.2 REST

4.3 Asynchronous invocation (e.g. AJAX) and push models

5. Indirect communication

5.1 Group communication

5.2 Publish/subscribe

5.3 Message queues

6. Architectures and models

6.1 Architectures: client/server variants, p2p, proxy

6.2 Fault, interaction and security models

7 Security

7.1 Models

7.2 Cryptography

7.3 Case studies: TLS, OAuth

8. Time

8.1 Physical clocks

8.2 Logical clocks

8.3 Vector clocks

8.4 Version vectors

9. Introduction to replication and consistency

9.1 Caching

9.2 Primary/backup replication

10. Naming in distributed systems

10.1 Problems and concepts

10.2 Name services

10.3 Directory services

Bibliography

Distributed Systems: Concepts and Design

George Coulouris, Jean Dollimore, Tim Kindberg, Gordon Blair

Publisher: Addison Wesley; 5th edition

ISBN-13: 978-0132143011

Prerequisites

As prerequisites students should have previous acquaintance with algorithms, programming, and computer networks.

Good Java programming skills are essential.

Student work
  Hours per credit 28
  Hours per week Weeks Hours
Total hours 0
ECTS 6.0