Shift Workload
Execute tasks when the grid is powered by renewable energy
Carbon Aware Computing (2022)
Description
The basic idea behind the time shifting approach is moving the computing load into a point in time when the power grid has a maximum of renewable energy. This will result in a lower emission of CO2 of a computing task.
In addition to energy and hardware efficiency, carbon efficiency is one of the most important principles of green software development, like the Energiewende. Energy is used when it is available from renewables.
Implementation
We shift the energy demand to a point in time when the carbon intensity of the grid is lower. To do this we need forecast data and software libraries to calculate the appropriate execution window.
Performance considerations
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Related Case Studies
Reducing carbon emissions in a core system
UBM and Microsoft shift computational tasks in CO2-reduced times
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Foundational free Patterns
Let workers perform as many steps as possible for single cases
Minimize numerical involvement
Too many cooks spoil the broth
Avoid shared responsibilities for tasks by people from different functional units
Automate for environmental impact
Implement automation in a sustainable way
Offer customers the possibility to choose among privacy settings
Explore whether a process can easily be used for additional products or services
Assign tasks based on resources' roles in the organisation
Experience-based task assignment
Delegate task according to experience: execution frequency, case involvement, interactions
Allocate task based on collaborative experience: handover time, interactions, diversity