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)
36:26Distributed Systems 2.3: System models
Associate Professor of Distributed Systems
This lecture introduces the fundamental system models for distributed computing, analyzing various failure modes, communication paradigms (e.g., synchronous vs. asynchronous), and ordering guarantees essential for robust distributed system design. It lays the groundwork for understanding fault tolerance and consistency in complex distributed architectures.
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
Distributed Systems 1.3: RPC (Remote Procedure Call)
Next · Lecture 4Distributed Systems 3.1: Physical time
Seminar notes & discussion
No public seminar notes on this lecture yet.
