AI-powered autonomous system for workload planning and energy optimization for intelligent data center management

Abstract

An AI-based autonomous system for workload planning and energy optimization in a data center, characterized in that the system includes: a data acquisition module for collecting operational and environmental data from data center components; a preprocessing module for normalizing and integrating the acquired data; a predictive analytics engine with one or more machine learning models for generating predictions of workload requirements and energy consumption; a workload planning module for distributing tasks across computing resources based on the predictions; and an energy optimization module for adjusting system parameters to minimize energy consumption.