Description: Distributed task scheduling is a method that allows for the programming and management of tasks across multiple distributed systems, optimizing resource use and improving efficiency in process execution. This approach is based on the idea that, in a distributed environment, tasks can be assigned to different nodes or machines, allowing them to be executed concurrently. Distributed task scheduling is characterized by its ability to balance the workload among various systems, minimizing wait times and maximizing overall performance. Furthermore, this method is fundamental in cloud computing and parallel processing systems, where collaboration among multiple processing units is essential for handling large volumes of data and complex tasks. The relevance of distributed task scheduling lies in its ability to adapt to different architectures and requirements, making it a key tool in the development of modern applications and in resource optimization in various environments.
