Institute of Computer Science
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  2. 2020/21 spring
  3. Distributed Systems (LTAT.06.007)
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Distributed Systems 2020/21 spring

  • General
  • Lectures
  • Practical work
  • Study materials
  • Practical work submission
  • Message board

Lectures

Lectures will take place following the (tentative) schedule below.

Online meeting (every Monday) (Zoom link) (Passcode: ds2021)

PART1: BASIC

  • Lecture 1 (08.02) - Basic concepts
    • Course overview (Slides)
    • Introduction to distributed systems (Slides) (Video - part1) (Video - part2)
  • Lecture 2 (15.02) - System Architectures
    • System architecture styles (Slides) (Video)
  • Lecture 3 (22.02) - Processes I
    • Fundamentals (Slides) (Video)
  • Lecture 4 (01.03) - Processes II
    • From systems to descriptive models (Slides) (Video)
    • Task 1 (Description)

PART2: INTERMEDIATE

  • Lecture 5 (08.03) - Communications
    • Communication between processes (Slides) (Video)
  • Lecture 6 (15.03) - Coordination I
    • Clock synchronization for distributed processes (Slides) (Video)
  • Lecture 7 (22.03) - Coordination II
    • Mutual exclusion and election algorithms (Slides) (Video)
    • Task 2 (Description)
  • Lecture 8 (29.03) - Naming
    • Naming, identifiers and addresses (Slides) (Video)
  • Lecture 9 (05.04) - Reschedule lecture due to holiday disruption

PART3: ADVANCED

  • Lecture 10 (12.04) - Consistency and Replication I
    • Consistency models (Slides) (Video)
  • Lecture 11 (19.04) - Consistency and Replication II
    • Replica management and consistency protocols (Slides) (Video)
  • Lecture 12 (26.04) - Fault tolerance I
    • Failure detection (Slides) (Video)
    • (Raft in action) (it seems this one was not recorded by Zoom, so here it is - Raft in action slide)
  • Lecture 13 (03.05) - Fault tolerance II
    • Recovery (Slides) (Video)
    • Task 3 (Description)

PART4: EXPERT

  • Lecture 14 (10.05) - Parallel computing systems
    • High performance and parallel computing systems (Slides) (Video)
  • Lecture 15 (17.05) - Transportation systems
    • Mobility modelling, data mining, mobile data analytics and ITS (Slides) (Video)
  • Lecture 16 (24.05) - Distributed pervasive systems
    • Mobile, wearable, IoT, ubiquitous technologies and beyond (Slides) (Video)

EVALUATION

  • Topics to revise
  • Final exam - More instructions in Moodle
    • Option1 (June 2 - Wednesday 10:15)
    • Option2 (June 4 - Friday 12:15)
    • Resit (TBD)

Starting time: Based on seminar time

  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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