Carbon-Aware Infrastructure Scheduling
How to schedule batch workloads based on carbon intensity of the grid, reducing emissions by 25% with minimal cost impact.
Carbon-Aware Computing
Not all compute is equal from a carbon perspective. The same workload can produce 3x more emissions depending on when and where it runs. Carbon-aware scheduling optimizes for both cost and carbon.
Implementation
Integrate with grid carbon intensity APIs (WattTime, Electricity Maps) to get real-time and forecasted carbon intensity data. Schedule flexible workloads during low-carbon windows.
Workload Classification
Classify workloads as time-critical (must run now), time-flexible (can shift 2-6 hours), and time-agnostic (can shift 24+ hours). Only time-flexible and time-agnostic workloads are candidates for carbon-aware scheduling.
Results
Organizations implementing carbon-aware scheduling typically see 20-30% reduction in compute-related emissions with less than 5% cost impact. Some see cost savings due to off-peak pricing alignment.
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