Author

L. Thamsen

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Preprint Aug 2026

How Accurately Can the Energy Use of Spark Applications Be Estimated Based on Resource Utilisation?

This work uses Apache Spark running on Kubernetes as a case-study dataflow runtime and cluster resource manager to compare model-based energy estimates to Intel RAPL package and DRAM energy on an AWS bare-metal cloud and an on-premises cluster, comparing different CPU usage signals and memory coefficients.

Youssef Moawad, Kathleen West, Vasilis Bountris et al. · 0 citations

Preprint Aug 2026

Could Model Partitioning Make Federated Learning More Sustainable?

This work proposes applying model partitioning, which can shift energy consumption by offloading parts of a model to another participant, in response to carbon- or grid-aware signals, in response to carbon- or grid-aware signals.

T. Frohlich, Tiffany J. Vlaar, L. Thamsen · 0 citations