MIT6.824 - Distributed System

• 1. Introduction
• 2. RPC and Threads
• 3. GFS
• 4. Primary-Backup Replication
• 5. Fault Tolerance: Raft (1)
• 6. Fault Tolerance: Raft (2)
• 7. Guest lecturer on Go
• 8. Q&A Lab2 A+B
• 9. Consistency and Linearizability
• 10. Zookeeper
• 11. Chain Replication
• 12. Distributed Transactions
• 13. Cache Consistency: Frangipani
• 14. Spanner
• 15. Optimistic Concurrency Control
• 16. Amazon DynamoDB
• 17. Big Data: Spark
• 18. Cache Consistency: Memcached at Facebook
• 19. Zanzibar
• 20. Fork Consistency, SUNDR
• 21. Byzantine Fault Tolerance
• 22. Peer-to-peer: Bitcoin
• 23. Smart Contracts
• 24. Verified Primary/Backup
• 25. Project demos
• read MapReduce: Simplified Data Processing on Large Clusters (2004)
• read The Google File System (2003)
• read The Design of a Practical System for Fault-Tolerant Virtual Machines (2010)
• read In Search of an Understandable Consensus Algorithm (Extended Version) (2014)
• read ZooKeeper: Wait-free coordination for Internet-scale systems (2010)
• read Chain Replication for Supporting High Throughput and Availability (2004)
• read Frangipani: A Scalable Distributed File System
• read Spanner: Google’s Globally-Distributed Database (2012)
• read No compromises: distributed transactions with consistency, availability, and performance (2015)
• read Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service (2022)
• read Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing (2012)
• read Scaling Memcache at Facebook (2013)
• read Zanzibar: Google’s Consistent, Global Authorization System (2019)
• read Secure Untrusted Data Repository (SUNDR) (2004)
• read Practical Byzantine Fault Tolerance (1999)
• read Bitcoin: A Peer-to-Peer Electronic Cash System (2008)
• read Ethereum White Paper (2014)