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Informatique et Mathématiques appliquées
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> Formation > Cursus ingénieur

Distributed Systems and advanced cloud - 5MMSDCA7

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  • Number of hours

    • Lectures : 19.5
    • Laboratory works : 22.5
    ECTS : 3.0

Goals

To study the main algorithms used within distributed systems and to determine how they scale how they resist to failures.

To learn the concepts at the heart of large scale distributed systems. Theoretical studies as well as their application on practical examples.

Contact Grégory MOUNIE

Content

Load balancing mechanisms, Amdahl's law, Fault Tolerance, Middlewares, Distributed hash tables, Deploying distributed applications, Shared memory.
Practical work with MPI, Kaapi, Boinc.



Prerequisites

Some elements about operating systems and networks.

Operating systems and concurrent programming

Tests

An oral présentation or written test. Project.



N1=50%CA+50%SD
Pas de rattrapage

Additional Information

Curriculum->Information Systems Engineering->Semester 5

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Date of update June 18, 2017

Université Grenoble Alpes