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distributed: videos

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  1. UMass CS677 (Spring'24) - Lecture 15 - Distributed TransactionsUMass CS677: Distributed Systems - Spring 2024Notes
  2. UMass CS677 (Spring'24) - Lecture 14 - Leader Election, Distributed LocksUMass CS677: Distributed Systems - Spring 2024Notes
  3. UMass CS677 (Spring'24) - Lecture 13 - Vector ClocksUMass CS677: Distributed Systems - Spring 2024Notes
  4. UMass CS677 (Spring'24) - Lecture 12 - Clock Synchronization and Logical ClocksUMass CS677: Distributed Systems - Spring 2024Notes
  5. UMass CS677 (Spring'24) - Lecture 11 - Cloud ComputingUMass CS677: Distributed Systems - Spring 2024Notes
  6. UMass CS677 (Spring'24) - Lecture 10 - Process and VM MigrationUMass CS677: Distributed Systems - Spring 2024Notes
  7. UMass CS677 (Spring'24) - Lecture 09 - OS VirtualizationUMass CS677: Distributed Systems - Spring 2024Notes
  8. UMass CS677 (Spring'24) - Lecture 08 - VirtualizationUMass CS677: Distributed Systems - Spring 2024Notes
  9. UMass CS677 (Spring'24) - Lecture 07 - Sustainable ComputingUMass CS677: Distributed Systems - Spring 2024Notes
  10. UMass CS677 (Spring'24) - Lecture 06 - Distributed and Cluster SchedulingUMass CS677: Distributed Systems - Spring 2024Notes
  11. UMass CS677 (Spring'24) - Lecture 05 - Concurrency ModelsUMass CS677: Distributed Systems - Spring 2024Notes
  12. UMass CS677 (Spring'24) - Lecture 04 - Remote Method InvocationUMass CS677: Distributed Systems - Spring 2024Notes
  13. UMass CS677 (Spring'24) - Lecture 03 - Message oriented communication, remote procedure callsUMass CS677: Distributed Systems - Spring 2024Notes
  14. UMass CS677 (Spring'24) - Lecture 02 - Distributed Systems ArchitecturesUMass CS677: Distributed Systems - Spring 2024Notes
  15. UMass CS677 (Spring'24) - Lecture 01 - Introduction to Distributed SystemsUMass CS677: Distributed Systems - Spring 2024Notes
  16. CSE138 (Distributed Systems) L15: introduction to sharding; consistent hashingCSE138 (Distributed Systems) lectures, Spring 2021Notes
  17. CSE138 (Distributed Systems) L14: Dynamo: Merkle trees, quorum consistency, tail latencyCSE138 (Distributed Systems) lectures, Spring 2021Notes
  18. CSE138 (Distributed Systems) L13: eventual consistency, availability, conflict resolutionCSE138 (Distributed Systems) lectures, Spring 2021Notes
  19. CSE138 (Distributed Systems) L12: Paxos and consensus wrap-up, passive/active replicationCSE138 (Distributed Systems) lectures, Spring 2021Notes
  20. CSE138 (Distributed Systems) L11: more on consensus, the FLP result, the Paxos protocolCSE138 (Distributed Systems) lectures, Spring 2021Notes
  21. CSE138 (Distributed Systems) L10: determinism, consistency models, intro to consensusCSE138 (Distributed Systems) lectures, Spring 2021Notes
  22. CSE138 (Distributed Systems) L9: primary-backup replication, chain replication, latency & throughputCSE138 (Distributed Systems) lectures, Spring 2021Notes
  23. CSE138 (Distributed Systems) L8: forms of fault tolerance, reliable delivery, reliable broadcastCSE138 (Distributed Systems) lectures, Spring 2021Notes
  24. CSE138 (Distributed Systems) L7: safety and liveness, fault models, two generals problemCSE138 (Distributed Systems) lectures, Spring 2021Notes
  25. CSE138 (Distributed Systems) L6: Chandy-Lamport snapshot algorithmCSE138 (Distributed Systems) lectures, Spring 2021Notes
  26. CSE138 (Distributed Systems) L5: recap of FIFO/causal/TO delivery, implementing causal broadcastCSE138 (Distributed Systems) lectures, Spring 2021Notes
  27. CSE138 (Distributed Systems) L4: vector clocks, FIFO/causal/totally-ordered deliveryCSE138 (Distributed Systems) lectures, Spring 2021Notes
  28. CSE138 (Distributed Systems) L3: partial orders, total orders, Lamport clocks, vector clocksCSE138 (Distributed Systems) lectures, Spring 2021Notes
  29. CSE138 (Distributed Systems) L2: time and clocks, causality and happens-before, network modelsCSE138 (Distributed Systems) lectures, Spring 2021Notes
  30. CSE138 (Distributed Systems) L1: logistics/administrivia; distributed systems: what and why?CSE138 (Distributed Systems) lectures, Spring 2021Notes
  31. Distributed Algorithms 2020: lecture 11a · Hardness of coloringDistributed Algorithms 2020Notes
  32. Distributed Algorithms 2020: lecture 10a · Sinkless orientationDistributed Algorithms 2020Notes
  33. Distributed Algorithms 2020: lecture 9a · Round eliminationDistributed Algorithms 2020Notes
  34. Distributed Algorithms 2020: lecture 8a · LocalityDistributed Algorithms 2020Notes
  35. Distributed Systems 5.2: QuorumsDistributed Systems lecture seriesNotes
  36. Distributed Systems 5.1: ReplicationDistributed Systems lecture seriesNotes
  37. Distributed Systems 4.3: Broadcast algorithmsDistributed Systems lecture seriesNotes
  38. Distributed Systems 4.2: Broadcast orderingDistributed Systems lecture seriesNotes
  39. Distributed Systems 4.1: Logical timeDistributed Systems lecture seriesNotes
  40. Distributed Systems 3.3: Causality and happens-beforeDistributed Systems lecture seriesNotes
  41. Distributed Systems 3.2: Clock synchronisationDistributed Systems lecture seriesNotes
  42. Distributed Systems 3.1: Physical timeDistributed Systems lecture seriesNotes
  43. Distributed Systems 2.4: Fault toleranceDistributed Systems lecture seriesNotes
  44. Distributed Systems 2.3: System modelsDistributed Systems lecture seriesNotes
  45. Distributed Systems 2.2: The Byzantine generals problemDistributed Systems lecture seriesNotes
  46. Distributed Systems 2.1: The two generals problemDistributed Systems lecture seriesNotes
  47. Distributed Systems 1.3: RPC (Remote Procedure Call)Distributed Systems lecture seriesNotes
  48. Distributed Systems 1.2: Computer networkingDistributed Systems lecture seriesNotes
  49. Distributed Systems 1.1: IntroductionDistributed Systems lecture seriesNotes
  50. Distributed Algorithms 2020: lecture 7a · Covering mapsDistributed Algorithms 2020Notes

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