Awesome and Dark Tactics
Homepage Catalog Tag Selection Contributions
All Tags AWS algorithm-design architecture cloud-principles cost-reduction data-centric data-compression data-processing deployment design edge-computing energy-footprint hardware libraries locality machine-learning management measured migration model-optimization model-training performance queries rebuilding scaling services strategies template workloads

<- Back to category

Tactic: Select nearby regions with better renewable energy rates

Tactic sort: Awesome Tactic
Type: Architectural Tactic
Category: resource-allocation
Tags: energy-footprint  locality 

Title

Select nearby regions with better renewable energy rates

Description

Regions with high renewable energy rates can be selected to reduce the energy footprint of cloud instances. Many cloud providers are transparent regarding the energy sources and allow users to select regions based on the amount of generated renewable energy. For example, GCP introduces a dashboard to chose a cloud region according to the lowest CO2 footprint. Note that regions with higher renewable energy rates could be more costly.

Participant

Cloud consumer

Related software artifact

Cloud resources

Context

Public cloud

Software feature

Region

Tactic intent

Making green choices when selecting cloud regions

Target quality attribute

Carbon footprint

Other related quality attributes

< unknown >

Measured impact

< unknown >

Source

Master Thesis “Architectural Tactics to Optimize Software for Energy Efficiency in the Public Cloud” by Sophie Vos


Graphical representation

  • Contact person
  • Patricia Lago (VU Amsterdam)
  •  disc at vu.nl
  •  patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel