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Future Generation Computer Systems
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
DBLP
Article . 2026
Data sources: DBLP
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Adaptive green cloud applications: Balancing emissions, revenue, and user experience through approximate computing

Authors: Monica Vitali; Philipp Wiesner; Kevin Kreutz; Roberto Gandola;

Adaptive green cloud applications: Balancing emissions, revenue, and user experience through approximate computing

Abstract

We present a carbon-aware application management approach that leverages approximate computing techniques to balance sustainability, user experience, and revenue. Our method dynamically optimises the configuration and scaling of individual software components within a predefined carbon budget. Through simulation-based evaluation across diverse regions, carbon budgets, and application setups, we demonstrate that the approach effectively adapts to fluctuating workloads and regional variations in carbon intensity.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid
Related to Research communities