Languages and algorithms for distributed Applications

LSINF2345  2018-2019  Louvain-la-Neuve

Languages and algorithms for distributed Applications
5.0 credits
30.0 h + 15.0 h
2q

Teacher(s)
Van Roy Peter ;
Language
Anglais
Main themes
  • Study of the theoretical basis of distributed systems, distributed algorithms, and languages for distributed programming.
  • Study of the specific issues related to distributed and mobile systems : geographic distribution, management of localized and distributed resources, fault tolerance, security, interoperability, and openness.
  • Practical use of several representative and advanced systems and languages for programming collaborative, distributed, and mobile applications.
Aims

Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • INFO1.1-3
  • INFO2.2-4
  • INFO5.4-5
  • INFO6.1, INFO6.4

Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • SINF1.M2
  • SINF2.2-4
  • SINF5.4-5
  • SINF6.1, SINF6.4

Students completing successfully this course will be able to

  • define distributed systems and distributed algorithms with concepts they contain and the properties they give to programs.
  • design collaborative applications on distributed systems using rigorous models to deal with concurrency and partial failure.
  • implement collaborative applications on distributed systems using appropiate technics.
  • use some advanced tools for the development of distributed and mobile applications.

Students will have developed skills and operational methodology. In particular, they have developed their ability to

  • think with abstractions (reason correctly about a system that consists of several layers of abstractions, and define new abstractions to simplify a problem's solution).

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.

Content
  • Introduction to distributed systems
  • Formal models of distributed systems
  • Specification and implementation of distributed systems
  • Failure detectors
  • Reliable broadcast
  • Causal broadcast
  • Shared memory
  • Concensus
  • Applications of concensus
Teaching methods
  • Lectures each week
  • Practical sessions in the computer room, every two weeks, to solve simplified problems using concepts explain during the lectures
  • Design and programming project to apply these concepts in a more complexe application
Evaluation methods
  • Dispensatory test 25% (around week 7)
  • Project 25%
  • Final exam 50% (or 75% if redoing test part)

The project is obligatory and is done during the quadrimester. It can only be done only once and it accounts for all academic year

Other information

Background :

  • LINGI1131 : Mastering of at least one programming system and basics of concurrent programming
Bibliography

Mandatory support:

  • slides available online

Course material:

  • Rachid Guerraoui and Luis Rodrigues. "Introduction to Reliable Distributed Programming". Springer-Verlag, 2006.
  • Hagit Attiya and Jennifer Welch. "Distributed Computing: Fundamentals, Simulations, and Advanced Topics". McGraw-Hill, 1998.
  • Peter Van Roy et Seif Haridi, Chapter 11 de Concepts, Techniques, and Models of Computer Programming, MIT Press, 2004.
  • Peter Van Roy, Per Brand, Seif Haridi et Raphael Collet, A Lightweight Reliable Object Migration Protocol, Springer LNCS 1686, 1998.
Faculty or entity


Programmes / formations proposant cette unité d'enseignement (UE)

Program title
Sigle
Credits
Prerequisites
Aims
Master [120] in Computer Science and Engineering
5
-

Master [120] in Computer Science
5
-

Master [120] in Data Science Engineering
5
-

Master [120] in data Science: Information technology
5
-