Lecture 1.1: Introduction to Distributed Systems (CST-DS)
14:36Distributed Systems 1.3: RPC (Remote Procedure Call)
19:44Distributed Systems 2.3: System models
20:44Distributed Systems 3.1: Physical time
20:47Distributed Systems 3.2: Clock synchronisation
15:57Distributed Systems 3.3: Causality and happens-before
16:24Distributed Systems 4.1: Logical time
24:01Lecture 4.2: Broadcast Ordering (CST-DS)
16:19Lecture 5.1: Replication (CST-DS)
25:21Lecture 6.1: Consensus (CST-DS)
18:15Lecture 6.2: Raft (CST-DS)
38:09Lecture 7.1: Two-Phase Commit (CST-DS)
18:45Lecture 7.2: Linearizability (CST-DS)
18:44Lecture 7.3: Eventual Consistency (CST-DS)
14:59Lecture 8.1: Collaboration Software (CST-DS)
36:26Lecture 7.2: Linearizability (CST-DS)
The session defines linearizability as a strong consistency model for distributed systems, illustrating its strict real-time ordering guarantee and contrasting it with weaker consistency properties.
Accompanying lecture notes: https://www.cl.cam.ac.uk/teaching/2122/ConcDisSys/dist-sys-notes.pdf
Full lecture series: https://www.youtube.com/playlist?list=PLeKd45zvjcDFUEv_ohr_HdUFe97RItdiB
This video is part of an 8-lecture series on distributed systems, given as part of the undergraduate computer science course at the University of Cambridge. It is preceded by an 8-lecture course on concurrent systems for which videos are not publicly available, but slides can be found on the course web page: https://www.cl.cam.ac.uk/teaching/2122/ConcDisSys/materials.html
Lecture 7.1: Two-Phase Commit (CST-DS)
Next · Lecture 14Lecture 7.3: Eventual Consistency (CST-DS)
Seminar notes & discussion
No public seminar notes on this lecture yet.