- Modelling, and evaluatging distributed systems. - Ability to design distributed applications. - To know the main aspect of distributed system design. - To know and apply simulation techniques in distributed systems. - Ability to analyze technical documents and scientifc papers. - Ability to transmit the results of a scientific research.

1. Introduction to distributed systems - Types of computing systems - Elements of a distributed system - Message passing - Design of distributed systems - The CAP theorem - Middlewares 2. Distributed Algorithms - Clock synchronization - Mutual exclusion - Leader election - Distributed consensus - Group communication - Global states - Case of study: ZooKeeper 3. Fault tolerant - Fault tolerant concepts - Replication 4. Simulation of distributed systems - Discret event simulation - Generation of random variables - Metrics of performance - Simulation experiments - Error estimation - Comparing two alternatives - Introduction to SimGrid 5. Scheduling in distributed systems - Scheduling - Scheduling methods - Process migration - Scheduling of independent tasks - Scheduling of parallel applications - Heuristics - Load balancing algorithms - Assignation of processors 6. Clusters and grid computing - Architecture of a cluster - Types of cluster - Single system image - Techniques to tolerate latency in large scale systems - Grid computing - Globus 7. HPC in distributed environments - High performance computing - HW platforms - MPI 8. Distributed file systems - Architecture of a distributed storage system - Network file systems - Distributed file systems - Shared disks file systems - Parallel file systems - I/O parallel interfaces - I/O parallel optimizations 9. Large scale distributed systems - Peer to Peer - Volunteer computing - Cloud computing - Big Data - Introduction to Apache Hadoop

- Practical and Theoretical lectures - Student work