B1: Carbon-aware Multi-site Workflow Scheduling Under Uncertainty

@inproceedings{irion_optimizing_2025,

title = {Optimizing Microgrid Composition for Sustainable Data Centers},

author = {Julius Irion and Philipp Wiesner and Jonathan Bader and Odej Kao},

url = {http://arxiv.org/abs/2508.04284},

doi = {10.48550/arXiv.2508.04284},

year  = {2025},

date = {2025-11-17},

urldate = {2025-11-17},

publisher = {Sustainable Supercomputing @ International Conference for High Performance Computing, Networking, Storage, and Analysis },

abstract = {As computing energy demand continues to grow and electrical grid infrastructure struggles to keep pace, an increasing number of data centers are being planned with colocated microgrids that integrate on-site renewable generation and energy storage. However, while existing research has examined the tradeoffs between operational and embodied carbon emissions in the context of renewable energy certificates, there is a lack of tools to assess how the sizing and composition of microgrid components affects long-term sustainability and power reliability. In this paper, we present a novel optimization framework that extends the computing and energy system co-simulator Vessim with detailed renewable energy generation models from the National Renewable Energy Laboratory’s (NREL) System Advisor Model (SAM). Our framework simulates the interaction between computing workloads, on-site renewable production, and energy storage, capturing both operational and embodied emissions. We use a multi-horizon black-box optimization to explore efficient microgrid compositions and enable operators to make more informed decisions when planning energy systems for data centers.},

note = {arXiv:2508.04284 [cs]},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lehmannWOW2025,

title = {WOW: Workflow-Aware Data Movement and Task Scheduling for Dynamic Scientific Workflows},

author = { Fabian Lehmann and Jonathan Bader and Friedrich Tschirpke and Ninon De Mecquenem and Ansgar Lößer and Sören Becker and Katarzyna Ewa Lewińska and Lauritz Thamsen and Ulf Leser},

year  = {2025},

date = {2025-05-01},

urldate = {2025-05-01},

booktitle = {2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)},

address = {Tromsø, Norway},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kulaginaAdaptive2025,

title = {Memory-aware Adaptive Scheduling of Scientific Workflows On Heterogeneous Architectures},

author = {Svetlana Kulagina and Anne Benoit and Henning Meyerhenke},

year  = {2025},

date = {2025-05-01},

urldate = {2025-05-01},

booktitle = {2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)},

address = {Tromsø, Norway},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{will2025flora,

title = {Flora: Efficient Cloud Resource Selection for Big Data Processing via Job Classification},

author = { Jonathan Will and Lauritz Thamsen and Jonathan Bader and Odej Kao},

url = {https://arxiv.org/pdf/2502.21046},

year  = {2025},

date = {2025-05-01},

urldate = {2025-05-01},

booktitle = {IEEE International Symposium on Cluster, Cloud, and Internet Computing (CCGRID)},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bader2024Sizey,

title = {Sizey: Memory-Efficient Execution of Scientific Workflow Tasks},

author = {Jonathan Bader and Fabian Skalski and Fabian Lehmann and Dominik Scheinert and Jonathan Will and Lauritz Thamsen and Odej Kao},

url = {https://ieeexplore.ieee.org/document/10740856},

year  = {2024},

date = {2024-09-21},

urldate = {2024-09-21},

booktitle = {2024 IEEE International Conference on Cluster Computing (CLUSTER)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{baderloesser2024ks,

title = {KS+: Predicting Workflow Task Memory Usage Over Time},

author = {Jonathan Bader and Ansgar Lößer and Lauritz Thamsen and Björn Scheuermann and Odej Kao},

url = {https://ieeexplore.ieee.org/document/10678686},

year  = {2024},

date = {2024-09-15},

urldate = {2024-09-15},

booktitle = {2024 IEEE 20th International Conference on e-Science (e-Science)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}