ROADEF 2026>
Carbon-Aware Scheduling on the Edge
Joachim Cendrier  1@  , Rajini Wijayawardana  2@  , Anne Benoit  1@  , Andrew Chien  2@  , Yves Robert  1@  , Frédéric Vivien  1@  
1 : Laboratoire de l'Informatique du Parallélisme
Ecole Normale Supérieure de Lyon, Université de Lyon, Université Claude Bernard Lyon 1, Institut National de Recherche en Informatique et en Automatique, Centre National de la Recherche Scientifique
2 : University of Chicago

The increasing use of data centers for a wide variety of tasks is causing significant environmental impacts. The use of renewable energies to attenuate this impact has been much discussed by resource providers [4], as have the many challenges associated [5]. In particular, one of these challenges is the availability of renewable energies, and what should be done when they are unavailable. Some schedulers have already been designed for green datacenters, such as [3], but we focus in this work on renewable energy in the edge-cloud context. Hence, we aim at scheduling online jobs on a set of local edge servers that are connected to the grid but also to various renewable energy sources, while a distant cloud server handles the potential overload.


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