Institute of Computer Science
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  2. 2022/23 spring
  3. Distributed Systems (LTAT.06.007)
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Distributed Systems 2022/23 spring

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

Lectures

  • Message board is just available from Monday to Friday
  • Video lectures will be recorded and provided to the best of our extent but they are not guaranteed in case (technical) issues are encountered
  • Lecture 10 (10.04) will be recorded by the lecturer using Panopto. Video link will be online during the week.

Zoom link https://ut-ee.zoom.us/j/95567118456?pwd=NEM2SHFNN0hSdDVNUzRYelk3VGp4dz09

Meeting ID: 955 6711 8456 Passcode: ds2021

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

PART1: BASIC

  • Lecture 1 (06.02) - Course overview and fundamentals
    • Course overview (Slides)
    • Introduction to distributed systems (Slides) (Video)
  • Lecture 2 (13.02) - Communications: RPC and threads
    • Concurrency and scheduling (Slides) (Video) (Video - demo:rpc) (Video - demo:rypc) (Video - demo:threads)
  • Lecture 3 (20.02) - System models
    • Expected behavior and assumptions (Slides) (Video)
  • Lecture 4 (27.02) - Time, clocks and ordering of events
    • Computer synchronization and causality (Slides) (Video)

PART2: INTERMEDIATE

  • Lecture 5 (06.03) - Logical time algorithms
    • Broadcast algorithms, Lamport and vector clocks (Slides) (Video)
  • Lecture 6 (13.03) - Coordination
    • Election algorithms (Slides) (Video-demo1) (Video-demo2)
    • Mini-project 1 (Description)
  • Lecture 7 (20.03) - Replication
    • Quorum (Slides) (Video) (Event-to-participate)
  • Lecture 8 (27.03) - Consistency
    • Consistency models (Slides) (Video)
  • Lecture 9 (03.04) - Consensus and conflict resolution
    • Raft, Chain replication and two (2PC) phase commit protocol (Slides) (Video)
  • Lecture 10 (10.04) - Naming - (Lecturer: Mohan Liyanage)
    • Name resolution (Slides) (Video)
  • Lecture 11 (17.04) - Modern system architectures
    • From classic (client/server) to explainable and distributed AI architectures (Slides) (Video) (Reinforce with Trustworthy AI course)

PART3: ADVANCED

  • Lecture 12 (24.04) - Scalability
    • Functional decomposition, partitioning and duplication (Slides) (Video)
    • Mini-project 2 (Description)
  • 01.05 - Public holiday :(
  • Lecture 13 (08.05) - Distributed ledgers - (Invited lecturer: Dimitris Chatzopoulos, University College Dublin, Ireland)
    • Cryptocurrencies (Slides) (Video)
  • Lecture 14 (15.05) - Deployment (Edge-cloud continuum) - (Lecturer: Mehrdad Asadi)
    • Edge intelligence and beyond (Slides) (Video)
  • Lecture 15 (22.05) - Monitoring
    • System performance metrics (Slides) (Video)
  • Lecture 16 (29.05) - Planning
    • System performance models (Slides) (Video) (Watch from minute 30:00 onwards)

EVALUATION

Please register in ÕIS for the final/resit exam!

  • Final exam - general information: The exam consists of conceptual and practical questions. Conceptual questions are answered online through Moodle (same format as the quizzes), while practical questions are elaborated in written format (Examples).

Dates

  • June 5 (option 1) - 10:15 (1019) [Completed - grades online]
  • June 9 (option 2) - 12:15 (1025) [Completed - grades online]
  • June 26 (Resit) - 10:15

(Lecture attendance stats)

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