A Study on Dynamic Task Scheduling of a Multi-Tier Distributed Query Engine for Power Systems

The conventional dynamic task scheduling method of multi-level distributed query engine mainly uses DAG (Directed Acyclic Graph) to generate task allocation scheduler, which is vulnerable to changes in task workflow, resulting in poor scheduling balance indicators. Therefore, an effective dynamic task scheduling method of multi-level distributed query engine is designed for power system. That is to divide multi-level distributed query engine dynamic scheduling tasks for power system, and design multi-level distributed query engine task parallel scheduling algorithm, so as to complete multi - level dynamic scheduling tasks without human query to the engine. The experimental results show that the dynamic task scheduling method of the multi-level distributed query engine has better scheduling effect, better scheduling balance index, reliability, and certain application value. It has made certain contributions to improving the quality of task comprehensive allocation and meeting the requirements of digital operation of power system.