MIT 6.824

6.824 Distributed Systems

Website

Spring 2020 (latest) course website videos

Overview

6.824/6.5840 is a core 12-unit graduate subject with lectures, readings, programming labs, an optional project, a mid-term exam, and a final exam. It will present abstractions and implementation techniques for engineering distributed systems. Major topics include fault tolerance, replication, and consistency. Much of the class consists of studying and discussing case studies of distributed systems.

Schedule

Hover on the title name to access video and my note

#	Title	Resources
1	Introduction
2	RPC and Threads
3	GFS
4	Primary-Backup Replication
5	Go, Threads, and Raft
6	Fault Tolerance: Raft (1)	The Raft Consensus Algorithm
7	Fault Tolerance: Raft (2)	Optional: Paxos(2014)
8	Zookeeper	ZooKeeper(2010)
9	More Replication, CRAQ	Lab 3: KV Raft CRAQ(2009)
10	Cloud Replicated DB, Aurora	Aurora(2017)
11	Cache Consistency: Frangipani	Frangipani(1997)
12	Distributed Transactions	Lab 4: Sharded KV Project proposals 6.033 Chapter 9
13	Spanner	Spanner(2012)
14	Optimistic Concurrency Control	FaRM(2015)
15	Big Data: Spark	Spark(2012)
16	Cache Consistency: Memcached at Facebook	Memcached at Facebook(2013)
17	Causal Consistency, COPS	COPS(2011)
18	Fork Consistency, Certificate Transparency	Certificate Transparency How CT works tlog
19	Bitcoin	Bitcoin(2008)How the Bitcoin protocol works
20	Blockstack	BlockStack(2017)
21	AnalogicFS experience paper	AnalogicFS paper