Leader Election in Cloud, Distributed Systems and Industry Systems
The module explores leader election in distributed systems, emphasizing its role in achieving coordination, consensus, and fault tolerance without a central authority. It outlines classical algorithms, including ring-based methods such as the LCR and HS algorithms, and delves into more complex systems like the Bully algorithm. The chapter ends with a discussion on practical implementations of leader election in services like Google’s Chubby and Apache ZooKeeper.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Leader election is crucial in distributed systems for resource management and coordination.
- Algorithms must ensure uniqueness, agreement, fault tolerance, termination, and efficiency.
- Practical implementations such as ZooKeeper and Chubby extend these algorithms for real-world applications.
Key Concepts
- -- Leader Election
- The process of designating a single process among a group for coordination or resource management in distributed systems.
- -- Ringbased Algorithms
- Algorithms where processes are arranged in a ring topology, passing messages to elect a leader based on unique identifiers.
- -- Bully Algorithm
- An election algorithm where the process with the highest ID assumes leadership by communicating with other processes.
- -- ZooKeeper
- An open-source coordination service for distributed applications that provides mechanisms for leader election, configuration management, and synchronization.
Additional Learning Materials
Supplementary resources to enhance your learning experience.