cse138
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- CSE138 (Distributed Systems) L15: introduction to sharding; consistent hashingCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L14: Dynamo: Merkle trees, quorum consistency, tail latencyCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L13: eventual consistency, availability, conflict resolutionCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L12: Paxos and consensus wrap-up, passive/active replicationCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L11: more on consensus, the FLP result, the Paxos protocolCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L10: determinism, consistency models, intro to consensusCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L9: primary-backup replication, chain replication, latency & throughputCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L8: forms of fault tolerance, reliable delivery, reliable broadcastCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L7: safety and liveness, fault models, two generals problemCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L6: Chandy-Lamport snapshot algorithmCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L5: recap of FIFO/causal/TO delivery, implementing causal broadcastCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L4: vector clocks, FIFO/causal/totally-ordered deliveryCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L3: partial orders, total orders, Lamport clocks, vector clocksCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L2: time and clocks, causality and happens-before, network modelsCSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L1: logistics/administrivia; distributed systems: what and why?CSE138 (Distributed Systems) lectures, Spring 2021Notes
- CSE138 (Distributed Systems) L16: Paxos wrap-up: nontermination, Multi-Paxos, fault tolerance; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L15: Paxos: the interesting partsCSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L14: handling node failure in replication protocols; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L13: *pause for breath*CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L12: replication; total order vs. determinism; consistency models ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L11: implementing reliable delivery; idempotence; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L10: recap of safety and liveness; reliable delivery; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L9: Chandy-Lamport wrap-up: limitations, assumptions, properties; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L8: Chandy-Lamport snapshot algorithmCSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L7: implementing causal broadcast; uses of causality ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L6: recap of delivery vs. receiving; recap of FIFO delivery; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L3: Lamport diagrams; causality and happens-before; network models; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L4: recap of partial orders; total orders; recap of happens-before; ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L5: vector clocks; protocol runs and anomalies; delivery ...CSE138 (Distributed Systems) lectures, Spring 2020Notes
- CSE138 (Distributed Systems) L2: distributed systems: what and why?; time and clocksCSE138 (Distributed Systems) lectures, Spring 2020Notes
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