SCARIF: Towards Carbon Modeling of Cloud Servers with Accelerators

S Ji, Z Yang, X Chen, S Cahoon, J Hu… - 2024 IEEE Computer …, 2024 - ieeexplore.ieee.org
Embodied carbon has been widely reported as a significant component in the full system
lifecycle of various computing systems green house gas emissions. Many efforts have been …

Building the cloud continuum with rear

S Galantino, E Albanese, N Asadov… - 2024 IEEE 10th …, 2024 - ieeexplore.ieee.org
The computing continuum combines computational resources and services from edge to
cloud, promising enhanced efficiency and resilience with respect to the traditional siloed …

FedCarbon: Carbon-Efficient Federated Learning with Double Flexible Controls for Green Edge AI

Y Li, T Ouyang, X Chen, X Cao - 2024 IEEE/ACM 32nd …, 2024 - ieeexplore.ieee.org
The deep integration of federated learning (FL) and edge computing holds great promise in
delivering ubiquitous edge AI services. However, in light of the upcoming carbon peaking …

[PDF][PDF] CarbonOracle: Automating Energy Mix & Renewable Energy Source Forecast Modeling for Carbon-Aware Micro Data Centers

M Symeonides, N Tsiopani, G Maouris, D Trihinas… - grid.ucy.ac.cy
Geo-distributed data centers (DCs) have a substantial impact on global electricity
consumption and carbon emissions, with their energy demands expected to increase …