Enabling users to work sustainably on shared institute computing resources
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arXiv
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| Format: | Preprint |
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2026
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| author | Eich, Niclas Erdmann, Johannes Erdmann, Martin Fischer, Benjamin Gilles, Paul Hauptreif, Tim Kelleter, Jan |
| author_facet | Eich, Niclas Erdmann, Johannes Erdmann, Martin Fischer, Benjamin Gilles, Paul Hauptreif, Tim Kelleter, Jan |
| contents | The VISPA project is a self-managed, mid-scale computing cluster that supports physics data analysis in research and teaching. Because the cluster is housed in a 1970s institute building with limited retrofit options, conventional efficiency upgrades would yield only minor energy savings. We therefore target sustainability primarily through user-centric measures. A monitoring system now records per-job energy consumption, while real-time data on the renewable share of the German power grid enable `green-window' scheduling. Users can query their individual energy consumption and carbon footprints, receive weekly reports, and tag jobs by project for aggregate accounting; memory records from previous runs help avoid oversubscription. All options are voluntary, fostering a cultural shift rather than imposing hard constraints. A simulation framework evaluates the potential impact of these measures. Together, the technological and behavioral interventions aim at medium- to long-term reductions in greenhouse-gas emissions by increasing resource awareness within the scientific community. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_22799 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Enabling users to work sustainably on shared institute computing resources Eich, Niclas Erdmann, Johannes Erdmann, Martin Fischer, Benjamin Gilles, Paul Hauptreif, Tim Kelleter, Jan Human-Computer Interaction Computers and Society High Energy Physics - Experiment The VISPA project is a self-managed, mid-scale computing cluster that supports physics data analysis in research and teaching. Because the cluster is housed in a 1970s institute building with limited retrofit options, conventional efficiency upgrades would yield only minor energy savings. We therefore target sustainability primarily through user-centric measures. A monitoring system now records per-job energy consumption, while real-time data on the renewable share of the German power grid enable `green-window' scheduling. Users can query their individual energy consumption and carbon footprints, receive weekly reports, and tag jobs by project for aggregate accounting; memory records from previous runs help avoid oversubscription. All options are voluntary, fostering a cultural shift rather than imposing hard constraints. A simulation framework evaluates the potential impact of these measures. Together, the technological and behavioral interventions aim at medium- to long-term reductions in greenhouse-gas emissions by increasing resource awareness within the scientific community. |
| title | Enabling users to work sustainably on shared institute computing resources |
| topic | Human-Computer Interaction Computers and Society High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2604.22799 |