Indika Perera

A Comparative Study of Deep Learning Models for Energy-Aware Workload Prediction in Edge-Cloud Environments

The demand for energy-efficient workload management across dispersed edge-cloud infrastructures has increased due to the growing use of edge computing. Conventional reactive scheduling techniques frequently result in higher energy usage and less efficient use of resources. In order to increase energy efficiency, this s...