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Code once, Run Green: Automated Green Code Translation in Serverless Computing
Sebastian Werner, Mathis K\"ahler, Alireza Hakamian
https://arxiv.org/abs/2509.22068 https://…

Code once, Run Green: Automated Green Code Translation in Serverless Computing
The rapid digitization and the increasing use of emerging technologies such as AI models have significantly contributed to the emissions of computing infrastructure. Efforts to mitigate this impact typically focus on the infrastructure level such as powering data centers with renewable energy, or through the specific design of energy-efficient software. However, both strategies rely on stakeholder intervention, making their adoption in legacy and already-deployed systems unlikely. As a result, …

A User-centric Kubernetes-based Architecture for Green Cloud Computing
Matteo Zanotto, Leonardo Vicentini, Redi Vreto, Francesco Lumpp, Diego Braga, Sandro Fiore
https://arxiv.org/abs/2509.13325

A User-centric Kubernetes-based Architecture for Green Cloud Computing
To meet the increasing demand for cloud computing services, the scale and number of data centers keeps increasing worldwide. This growth comes at the cost of increased electricity consumption, which directly correlates to CO2 emissions, the main driver of climate change. As such, researching ways to reduce cloud computing emissions is more relevant than ever. However, although cloud providers are reportedly already working near optimal power efficiency, they fail in providing precise sustainabi…