Merge pull request #553 from Boavizta/552-doc-reference-boavizta-methodology-paper

doc: add reference to Boavizta methodology paper.

Author: demeringo

CHANGELOG.md

@@ -9,6 +9,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 _This paragraph may describe WIP/unreleased features. They are merged to main branch but not tagged._
 
+- [Doc: reference Boavizta methodology paper. · Issue #552 · Boavizta/cloud-scanner](https://github.com/Boavizta/cloud-scanner/issues/552)
+
 ## [3.0.1]-2024-06-19
 
 ## What's Changed

README.md

@@ -38,6 +38,10 @@ Cloud-scanner can be used:
 
 How it works:
 
+Cloud scanner follows Boavizta approach.
+
+> Thibault Simon, David Ekchajzer, Adrien Berthelot, Eric Fourboul, Samuel Rince, et al.. BoaviztAPI: a bottom-up model to assess the environmental impacts of cloud services. HotCarbon'24. Workshop on Sustainable Computer Systems, Jul 2024, Santa Cruz, United States. [⟨hal-04621947v1⟩](https://hal.science/hal-04621947v1)
+
 ![System in context diagram of cloud scanner](docs/src/images/cloud-scanner-system-in-context.png "System in context diagram of cloud scanner")
 
 ## Usage and documentation

docs/src/explanations/methodology.md

@@ -12,6 +12,8 @@ Impact data is retrieved from [BOAVIZTA reference data API](https://github.com/B
 
 Cloud scanner estimates impacts according to the duration of use of cloud resources. It also considers the "intensity" of use (like the type of instance and CPU load for a VM or size of a disk for storage). The region of use is also considered to take into account the electricity mix of the region (carbon intensity).
 
+> Thibault Simon, David Ekchajzer, Adrien Berthelot, Eric Fourboul, Samuel Rince, et al.. BoaviztAPI: a bottom-up model to assess the environmental impacts of cloud services. HotCarbon'24. Workshop on Sustainable Computer Systems, Jul 2024, Santa Cruz, United States. [⟨hal-04621947v1⟩](https://hal.science/hal-04621947v1)
+
 The general approach is to map cloud vendor specific ressources, either to Boavizta *cloud resources* (like for VM instances) or to more generic components (Block storage volumes are approximated as Boavizta HDD or SSD).
 
 But this approach means that **a large portion** of the cloud provider infrastructure **is excluded from the estimation**.