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Replication and Consensus in Distributed Systems
This lecture covers the concepts of replication and consensus in distributed systems, focusing on storage nodes, RAID configurations, and the challenges of achieving agreement among multiple nodes. The instructor explains the fundamental challenges of trying again after failure and the importance of consistency in past attempts. The lecture also delves into the Paxos algorithm, majoritarian consensus, and the phases involved in reaching agreement. Additionally, it explores the concept of time-stop reservation and the need for a two-phase protocol to ensure successful agreement in distributed systems.