Practice Lamport-Shostak-Pease Algorithm (Classical BFT Solution) - 2.4 | Module 5: Consensus, Paxos and Recovery in Clouds | Distributed and Cloud Systems Micro Specialization
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2.4 - Lamport-Shostak-Pease Algorithm (Classical BFT Solution)

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the minimum number of generals required to ensure agreement if up to 2 can be traitors?

πŸ’‘ Hint: Think about how many loyal generals are needed to outvote traitors.

Question 2

Easy

Define Byzantine Failure.

πŸ’‘ Hint: Recall the nature of the problems faced in the Byzantine Generals Problem.

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 is the Lamport-Shostak-Pease algorithm designed to solve?

  • Consensus under crash failures
  • Byzantine Generals Problem
  • Network partitions

πŸ’‘ Hint: Remember the core problem it aims to address.

Question 2

True or False: The algorithm can function correctly with more traitors than loyal generals.

  • True
  • False

πŸ’‘ Hint: Think about the N = 3f + 1 requirement.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

What strategies could be employed in real-world systems that adapt the Lamport-Shostak-Pease algorithm to improve its efficiency and applicability?

πŸ’‘ Hint: Think about practical examples, such as blockchain technology or distributed databases.

Question 2

How does the effectiveness of the Lamport-Shostak-Pease algorithm compare against other consensus algorithms in the presence of Byzantine failures?

πŸ’‘ Hint: Consider the trade-offs of different algorithms and their adaptations to performance in distributed systems.

Challenge and get performance evaluation