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doc: add reference to Boavizta methodology paper. #553

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Jul 6, 2024
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doc: add reference to Boavizta methodology paper. #553

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2 changes: 2 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -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
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4 changes: 4 additions & 0 deletions README.md
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Expand Up @@ -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
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2 changes: 2 additions & 0 deletions docs/src/explanations/methodology.md
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Expand Up @@ -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**.
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