Distributed Task Scheduling System Using Load Balancing Algorithms

Develop a distributed task scheduling platform that assigns computational tasks to multiple worker nodes using dynamic load balancing strategies to improve performance, scalability, and system reliability.

Study load balancing techniques (Round Robin, Least Connections).

Design master-worker architecture.

Implement task submission interface.

Develop worker node registration mechanism.

Implement dynamic load distribution algorithm.

Add task queue management.

Monitor worker health status.

Implement failover strategy.

Develop logging system for task tracking.

Measure response time and efficiency.

Deploy system in multi-container setup.

Simulate high-load scenarios.

Optimize scheduling algorithm.

Document experimental results.

Prepare performance comparison charts