Practice Liveness (Progress) and Contention in Paxos - 1.3.4 | Module 5: Consensus, Paxos and Recovery in Clouds | Distributed and Cloud Systems Micro Specialization
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1.3.4 - Liveness (Progress) and Contention in Paxos

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does liveness mean in the context of distributed systems?

πŸ’‘ Hint: Think about what happens if processes stop communicating.

Question 2

Easy

Define contention in distributed systems.

πŸ’‘ Hint: Consider what happens when multiple processes try to do the same thing.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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

πŸ’‘ Hint: Think about the outcome of active communication.

Question 2

What is livelock?

  • True
  • False

πŸ’‘ Hint: Focus on how competing processes behave.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

πŸ’‘ Hint: Think about how you would manage chaos in a busy line.

Question 2

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?

πŸ’‘ Hint: Relate quorum size to the number of active participants.

Challenge and get performance evaluation