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Lecture 14: Optimistic Concurrency Control
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MIT 6.824 Distributed Systems - Spring 2020
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- 1 Lecture 1: Introduction
- 2 Lecture 2: RPC and Threads
- 3 Lecture 3: GFS
- 4 Lecture 4: Primary-Backup Replication
- 5 Lecture 5: Go, Threads, and Raft
- 6 Lecture 6: Fault Tolerance: Raft (1)
- 7 Lecture 7: Fault Tolerance: Raft (2)
- 8 Lecture 8: Zookeeper
- 9 Lecture 9: More Replication, CRAQ
- 10 Lecture 10: Cloud Replicated DB, Aurora
- 11 Lecture 11: Cache Consistency: Frangipani
- 12 Lecture 12: Distributed Transactions
- 13 Lecture 13: Spanner
- 14 Lecture 14: Optimistic Concurrency Control
- 15 Lecture 15: Big Data: Spark
- 16 Lecture 16: Cache Consistency: Memcached at Facebook
- 17 Lecture 17: COPS, Causal Consistency
- 18 Lecture 18: Fork Consistency, Certificate Transparency
- 19 Lecture 19: Bitcoin
- 20 Lecture 20: Blockstack
