Dynamic task scheduling for power system query engines based on the open source Hongmeng

Conventional dynamic scheduling methods for power system query engine tasks mainly use MEC (Mobile Edge Computing) multi mobile edge computing method for scheduling decisions, which is vulnerable to changes in the scale of the scheduling network, resulting in poor dynamic scheduling performance. Therefore, it is necessary to design a new dynamic scheduling method for power system query engine tasks based on open source Hongmeng. That is to say, we use open source Hongmeng to build the dynamic collaborative scheduling architecture of the power system query engine task, and design the dynamic scheduling algorithm of the power system query engine task, thus realizing the dynamic scheduling of the power system query engine task. The experimental results show that the designed dynamic task scheduling method for the open source Hongmeng query engine in the power system has low scheduling load, MAPE prediction error, scheduling delay, scheduling task start time, and a high number of scheduling tasks, which proves that the designed dynamic task scheduling method for the query engine in the power system has good scheduling effect, reliability, and certain application value, It has made certain contribution to improving the comprehensive performance of power system operation.