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Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows
Research article (Computing, 2023) · cited 18× · AI/ML
Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows
Summary
Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows is a scholarly article[1].
Key Facts
Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows. Retrieved May 24, 2026, from https://4ort.xyz/entity/reducing-energy-footprint-in-cloud-computing-a-study-on-the-impact-of-clustering-techniques-and-scheduling-algorithms-fo
MLA“Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reducing-energy-footprint-in-cloud-computing-a-study-on-the-impact-of-clustering-techniques-and-scheduling-algorithms-fo.
BibTeX@misc{4ortxyz_reducing-energy-footprint-in-cloud-computing-a-study-on-the-impact-of-clustering-techniques-and-scheduling-algorithms-fo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows}}, year = {2026}, url = {https://4ort.xyz/entity/reducing-energy-footprint-in-cloud-computing-a-study-on-the-impact-of-clustering-techniques-and-scheduling-algorithms-fo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reducing energy footprint in cloud computing: a study on the impact of clustering techniques and scheduling algorithms for scientific workflows — https://4ort.xyz/entity/reducing-energy-footprint-in-cloud-computing-a-study-on-the-impact-of-clustering-techniques-and-scheduling-algorithms-fo (retrieved 2026-05-24)
