Consensus, Paxos and Recovery in Clouds
The module delves into consensus mechanisms, crucial for achieving consistency in distributed systems, especially within cloud environments. It examines theoretical foundations such as the Paxos algorithm and the challenges posed by Byzantine failures. Additionally, it explores recovery mechanisms essential for maintaining operational reliability in the face of failures.
47 sections
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Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Consensus mechanisms are essential for ensuring the integrity and reliability of distributed and cloud systems.
- The Paxos algorithm provides a framework for achieving consensus in asynchronous distributed networks, overcoming challenges posed by process failures.
- Robust recovery strategies are necessary to restore system consistency following failures and ensure continuous operation.
Key Concepts
- -- Consensus
- The agreement problem in distributed computing where multiple processes must decide on a single value or action.
- -- Paxos Algorithm
- A family of consensus algorithms that allows a group of processes to reach agreement on a single value, tolerant to process crash failures.
- -- Byzantine Faults
- A type of failure where a process can behave arbitrarily, including sending conflicting information to different recipients.
- -- Rollback Recovery
- Techniques used to restore a distributed system to a valid state after a failure, typically by reverting processes to previously saved checkpoints.
- -- Coordinated Checkpointing
- A method where processes collectively take checkpoints to avoid inconsistencies and the domino effect during recovery.
Additional Learning Materials
Supplementary resources to enhance your learning experience.