2results about How to "Realize reasonable scheduling" patented technology

This disclosure provides one or more embodiments of a container deployment method, apparatus, electronic device, and storage medium for a power load control terminal. The method includes: acquiring multiple microservices corresponding to at least one power service of the power load control terminal; constructing a container image file corresponding to the microservice based on the service level and security level of the microservice; in response to receiving a deployment request for any of the microservices, determining whether the microservice is allowed to be deployed on the power load control terminal based on the requirements of the microservice and the resources of the power load control terminal; and in response to determining that the microservice is allowed to be deployed on the power load control terminal, deploying a container corresponding to the microservice on the power load control terminal based on the container image file.

This invention provides a method and system for intelligent allocation of computing resources for multi-task parallel training, relating to the field of computing resource management technology. It includes acquiring resource request information such as the computational requirements, storage capacity requirements, and communication bandwidth requirements of multiple tasks to be trained; abstracting computing resources into a resource pool composed of divisible and composable resource atoms; and combining these atoms to form resource quota units with computational capacity and available time indicators. A matching function is established between training tasks and resource quota units to quantify the supply-demand matching degree; a system of resource competition constraint equations is constructed to solve for the optimal allocation scheme, forming initial resource binding relationships and planning execution time slices. After parallel training starts, the resource consumption rate and training progress speed are monitored in real time; when a nonlinear deviation is detected, the resource quota units are dynamically disassembled and reassembled.