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MIT 6.824: Distributed Systems →0/20
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MIT 6.824 Distributed Systems: Introduction & MapReduce

1:19:35
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MIT 6.824 Lecture 2: RPC, Concurrency & Threads in Go

1:20:22
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MIT 6.824 Lecture 3: The Google File System (GFS)

1:22:22
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MIT 6.824 Lecture 4: Primary-Backup Replication & VMware FT

1:19:20
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MIT 6.824 Lecture 5: Go Concurrency Patterns, Condition Variables & Raft Prep

1:22:28
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MIT 6.824 Lecture 6: Consensus & Fault Tolerance — Raft (Part 1)

1:20:00
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MIT 6.824 Lecture 7: Raft Log Compaction, Persistence & Linearizability (Part 2)

1:17:36
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MIT 6.824 Lecture 8: ZooKeeper — Wait-Free Coordination & Read Scaling

1:20:31
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Lecture 9: More Replication, CRAQ (6.824)

1:18:34
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Lecture 10: Cloud Replicated DB, Aurora (6.824)

1:19:38
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Lecture 11: Cache Consistency: Frangipani (6.824)

1:20:03
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Lecture 12: Distributed Transactions (6.824)

1:17:24
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Lecture 13: Spanner (6.824)

1:19:07
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Lecture 14: Optimistic Concurrency Control (6.824)

1:22:37
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Lecture 15: Big Data: Spark (6.824)

1:08:13
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Lecture 16: Cache Consistency: Memcached at Facebook (6.824)

1:18:01
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Lecture 17: COPS, Causal Consistency (6.824)

1:23:29
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Lecture 18: Fork Consistency, Certificate Transparency (6.824)

1:13:40
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Lecture 19: Bitcoin (6.824)

56:54
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Lecture 20: Blockstack (6.824)

1:19:01

Lecture 19: Bitcoin (6.824)

Robert MorrisMIT

Professor

56:54·2020·graduate level

This lecture offers a technical deep dive into Bitcoin, dissecting its proof-of-work consensus mechanism, blockchain data structure, and implications for decentralized, trustless systems.

Systems & CSDistributed SystemsAlgorithms & Data StructuresBitcoinBlockchain

Lecture 19: Bitcoin

MIT 6.824: Distributed Systems (Spring 2020)

Previous · Lecture 18

Lecture 18: Fork Consistency, Certificate Transparency (6.824)

Next · Lecture 20

Lecture 20: Blockstack (6.824)

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