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CSE138 (Distributed Systems) lectures, Spring 2021

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CSE138 (Distributed Systems) L15: introduction to sharding; consistent hashing

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CSE138 (Distributed Systems) L14: Dynamo: Merkle trees, quorum consistency, tail latency

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CSE138 (Distributed Systems) L13: eventual consistency, availability, conflict resolution

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CSE138 (Distributed Systems) L12: Paxos and consensus wrap-up, passive/active replication

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CSE138 (Distributed Systems) L11: more on consensus, the FLP result, the Paxos protocol

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CSE138 (Distributed Systems) L10: determinism, consistency models, intro to consensus

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CSE138 (Distributed Systems) L9: primary-backup replication, chain replication, latency & throughput

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CSE138 (Distributed Systems) L8: forms of fault tolerance, reliable delivery, reliable broadcast

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CSE138 (Distributed Systems) L7: safety and liveness, fault models, two generals problem

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CSE138 (Distributed Systems) L6: Chandy-Lamport snapshot algorithm

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CSE138 (Distributed Systems) L5: recap of FIFO/causal/TO delivery, implementing causal broadcast

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CSE138 (Distributed Systems) L4: vector clocks, FIFO/causal/totally-ordered delivery

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CSE138 (Distributed Systems) L3: partial orders, total orders, Lamport clocks, vector clocks

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CSE138 (Distributed Systems) L2: time and clocks, causality and happens-before, network models

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CSE138 (Distributed Systems) L1: logistics/administrivia; distributed systems: what and why?

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