Intelligent computing power scheduling method and system based on integrated general sense algorithm for power distribution communication network

Abstract

The application discloses a power distribution communication network intelligent computing scheduling method and system based on a perception-computation integration, through constructing a perception-computation integration system, unified modeling and intelligent collaboration of three types of resources of perception, communication and computation are realized, cloud, edge and terminal computing resources can be integrated, and overall utilization is improved; based on the perception-computation integration system, a unit allocation cost of task execution on a node is defined according to communication delay, computation delay, energy consumption and task migration cost, a first objective function of minimizing a global weighted cost is established, accurate resource matching can be realized, and the allocation inefficiency problem is solved; a teacher-student joint learning combined with a reinforcement learning method is used, network dynamic changes can be adaptively adapted, fast convergence can be realized on a resource-limited edge computing platform, communication fluctuations, task bursts and other scenes can be coped with, real-time adjustment of the computing scheduling strategy is ensured, system response speed and robustness are improved, computing power is efficiently and timely allocated, and computing power utilization is improved.

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