Computational Network Energy Efficiency Evaluation, Low-Carbon Scheduling, and Intelligent Optimization System

In order to solve the problems of low energy efficiency operation of computing network infrastructure in the development process of industry applications, this project takes the optimization and matching of computing network business energy consumption as the concept, and takes “resource dynamic perception, intelligent cloud edge integrated scheduling, green energy conservation” as the core. It provides AI energy consumption pre evaluation, low-carbon scheduling of computing network resources, dynamic monitoring of energy consumption, post evaluation optimization and other capabilities for applications, and achieves strategies such as optimal deployment of energy consumption nodes, Building a network energy optimization system with continuous evolution of circulation and application migration capabilities, and continuously providing efficient, low-cost, and low energy integrated network services, is of great significance for innovation and empowering various industry applications to reduce costs and increase efficiency.