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master-slave-architecture

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☕ A Distributed Task Scheduling System is a software infrastructure that allows for the distribution and execution of tasks across multiple nodes in a network. It enhances the efficiency and scalability of large-scale computation and data processing tasks by dividing complex tasks into smaller sub-tasks and distributing them.

  • Updated Sep 1, 2024
  • Java

basic implementation of distributed computing using Python's socket programming. It showcases how a master node can distribute tasks to multiple slave nodes and aggregate the computed results. This example is intended for educational purposes to understand the fundamentals of network programming and distributed computing architectures.

  • Updated Mar 16, 2024
  • Python

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