gitlab.irit.fr / sepia-pub / open-science
sepia-pub/open-science/demand-response-user
Published in Euro-Par 2022: Maël Madon, Georges da Costa, Jean-Marc Pierson. Characterization of Different User Behaviors for Demand Response in Data Centers. 28th International Conference on Parallel and Distributed Computing : Parallel Processing (Euro-Par 2022), Aug 2022, Glasgow, United Kingdom. pp.53-68, ⟨10.1007/978-3-031-12597-3_4⟩. ⟨hal-03768237⟩ Artefact : https://gitlab.irit.fr/sepia-pub/open-science/demand-response-user/-/tree/europar2022
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sepia-pub/open-science/artifact-europar24-lightweight-power-pred-sched
Published in Europar 2024 Danilo Carastan-Santos, Georges da Costa, Millian Poquet, Patricia Stolf, Denis Trystram. Light-weight prediction for improving energy consumption in HPC platforms. 2024. ⟨hal-04566184⟩
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sepia-pub/open-science/seasonal-study-of-user-demand-and-it-system-usage-in-datacenters
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sepia-pub/open-science/sufficient-behaviors-with-renewables
Published in ICT4S'24 J. Gatt, M. Madon, G. Da Costa "Digital sufficiency behaviors to deal with intermittent energy sources in a data center", ICT4S'24
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sepia-pub/open-science/expe-replay-feedback
Published in FGCS in 2024: Maël Madon, Georges da Costa, Jean-Marc Pierson. Replay with Feedback: How does the performance of HPC system impact user submission behavior?. Future Generation Computer Systems, inPress, ⟨10.1016/j.future.2024.01.024⟩. ⟨hal-04432711⟩ Artefact: https://gitlab.irit.fr/sepia-pub/open-science/expe-replay-feedback/-/tree/fgcs-2024
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