Practice Liveness (progress) And Contention In Paxos (1.3.4) - Consensus, Paxos and Recovery in Clouds
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Liveness (Progress) and Contention in Paxos

Practice - Liveness (Progress) and Contention in Paxos

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does liveness mean in the context of distributed systems?

💡 Hint: Think about what happens if processes stop communicating.

Question 2 Easy

Define contention in distributed systems.

💡 Hint: Consider what happens when multiple processes try to do the same thing.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does liveness ensure in a consensus algorithm?

A. Only one proposal can be made
B. A decision is eventually reached if processes are active
C. Processes will eventually stop trying

💡 Hint: Think about the outcome of active communication.

Question 2

What is livelock?

True
False

💡 Hint: Focus on how competing processes behave.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a Paxos system for a supermarket checkout process where multiple cashiers propose values for the total after a customer scans their items. Discuss how to mitigate contention and ensure liveness.

💡 Hint: Think about how you would manage chaos in a busy line.

Challenge 2 Hard

Analyze a scenario where a sudden power outage causes multiple process failures in a Paxos system. How does quorum size impact the system's ability to recover decisions?

💡 Hint: Relate quorum size to the number of active participants.

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Reference links

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