Understanding Leader Election Algorithm

The election algorithm is based on the following assumptions:

1. Each process has a unique priority number.

2. All processes in the system are fully connected.

3. The process with the highest priority number will be elected as coordinator.

4. Each process knows the process number of all other processes.

5. What the process doesn’t know is which process is up or down.

6. During recovery, the failed process can take appropriate steps to resume the set of active processes.

Note: The goal of the election algorithm is to ensure the following factors:

  • There should be only one leader among the processes.
  • All Processes agree on who is the leader.

We have two election algorithms for two different configurations of a distributed system.

1. Bully Algorithm

2. Ring Algorithm

Bully Algorithm in Distributed System

Operating Systems play a critical role in managing and coordinating the activities of a computer system. In distributed systems, where multiple computers work together to achieve a common goal, the issue of node/process failure becomes a significant concern. To ensure the reliability and fault tolerance of a distributed system, leader election algorithms come to the rescue. In this article, we will discuss the leader election algorithm (Bully algorithm) and understand how it guarantees the election of a new coordinator when the current coordinator fails.

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Understanding Leader Election Algorithm

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Practical Applications of the Bully Algorithm

The Bully Algorithm finds applications in various distributed systems, including:...

Pros of the Bully algorithm

Simple: The bully algorithm is easy to understand and implement. Effective in small networks: The bully algorithm has low overhead in smaller distributed systems. Fault-tolerant: The bully algorithm can elect a new leader if the current leader fails....

Cons of the Bully algorithm

Inefficient in large networks: The bully algorithm can introduce message overhead and delays in larger distributed systems. Risk of starvation: Lower-ranked nodes may never become leaders in some cases. Initialization challenges: The bully algorithm requires accurate Process rankings, which can be difficult to achieve in practice. Lack of preemption: The bully algorithm is non-preemptive, meaning that the current leader cannot be preempted by a higher-ranked Process....

Conclusion

In distributed systems, the Bully Algorithm is a simple and fault-tolerant leader election technique. It performs well in small- to medium-sized networks, maintaining order in the event of a leader failure. However, it lacks preemption capabilities and its efficiency can drop in larger networks....