Graduate School and Research Center in Digital Sciences

Distributed Systems and Cloud Computing

T Technical Teaching


  • The goal of this course is to provide a comprehensive view on recent topics and trends in distributed systems and cloud computing.
  • We will discuss the software techniques employed to construct and program reliable, highly-scalable systems.
  • We will also cover architecture design of modern datacenters and virtualization techniques that constitute a central topic of the cloud computing paradigm.
  • The course is complemented by a number of lab sessions to get hands-on experience with Hadoop and the design of scalable algorithms with MapReduce.



  • Introduction
  • Datacenter Design and Architectures
  • Virtualization
  • Energy Efficiency
  • Distributed File Systems (part 1)
  • Distributed File Systems (part 2)
  • Replication
  • MapReduce: Motivations and Theory
  • MapReduce: Hadoop internals
  • MapReduce: Programming Model and Algorithms
  • Database Systems
  • Distributed Database Systems
  • Distributed Data Stores and NoSQL Systems
Nb hours: 42.00