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Distributed Systems 1.1: Introduction
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Distributed Systems 1.2: Computer networking
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Distributed Systems 1.3: RPC (Remote Procedure Call)
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Distributed Systems 2.1: The two generals problem
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Distributed Systems 2.2: The Byzantine generals problem
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Distributed Systems 2.3: System models
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Distributed Systems 2.4: Fault tolerance
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Distributed Systems 3.1: Physical time
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Distributed Systems 3.2: Clock synchronisation
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Distributed Systems 3.3: Causality and happens-before
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Distributed Systems 4.1: Logical time
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Distributed Systems 4.2: Broadcast ordering
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Distributed Systems 4.3: Broadcast algorithms
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Distributed Systems 5.1: Replication
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Distributed Systems 5.2: Quorums
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Distributed Systems 5.3: State machine replication
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Distributed Systems 6.1: Consensus
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Distributed Systems 6.2: Raft
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Distributed Systems 7.1: Two-phase commit
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Distributed Systems 7.2: Linearizability
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Distributed Systems 7.3: Eventual consistency
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Distributed Systems 8.1: Collaboration software
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Distributed Systems 8.2: Google's Spanner
Description:
Accompanying lecture notes: https://www.cl.cam.ac.uk/teaching/2122/ConcDisSys/dist-sys-notes.pdf These videos form 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

University of Cambridge
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#Computer Science #Distributed Systems #Computer Networking #Software Engineering #Fault Tolerance #Mathematics #Statistics & Probability #Causality
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Distributed Systems 1.1: Introduction