P. M.

A Carbon-Optimal and Security-Compliant Scheduler for Cloud Workloads using Region-Specific ML Models

Data centers in the cloud use a lot of energy and produce considerable carbon emissions because of the growing requirements for computational and AI-heavy processes. Currently, available cloud schedulers pay attention to performance and resource usage optimization without much consideration of carbon footprint efficien...