<ul><li>Distributed Task Scheduling provides a solution to challenges faced in managing large-scale online applications during peak seasons.</li><li>It intelligently manages and distributes tasks across multiple nodes in a distributed system to ensure efficient resource utilization and improved performance.</li><li>Key components of distributed task scheduling include task definition, task queuing, task execution, monitoring and reporting, and scaling.</li><li>Real-world applications include data processing pipelines, microservices architectures, automated reporting systems, and cloud computing platforms.</li></ul>

Distributed Task Scheduling

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