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Massachusetts Institute of Technology

MIT 6.824 Distributed Systems (Spring 2020)

Massachusetts Institute of Technology via YouTube

Overview

Learn Distributed Systems with MIT! In this series, you will learn about RPC and threads, GFS, primary-backup replication, go, threads and raft, fault tolerance, zookeeper, CRAQ, cloud replicated DB, aurora, cache consistency, distributed transactions, spanner, optimistic concurrency control, big data, COPS, causal consistency, fork consistency, certificate consistency, bitcoin, and blockstack.

Syllabus

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

Taught by

MIT 6.824: Distributed Systems

Reviews

5.0 rating, based on 2 Class Central reviews

Start your review of MIT 6.824 Distributed Systems (Spring 2020)

  • If you are in the worked of Technology, interesting information will be broadcasted especially with the manner the professor has given these courses
  • Ayesha Rafique
    The course was very comprehensive and easy to understand. The instructors made sure that they are giving the information in a way that won't make me confused. Thank you so much for this great course!

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