GMB-ECC: Guided Measuring and Benchmarking of the Edge Cloud Continuum
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866916649429368832 |
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| author | Jahnke, Brian-Frederik Schmook, Rebecca Howar, Falk |
| author_facet | Jahnke, Brian-Frederik Schmook, Rebecca Howar, Falk |
| contents | In the evolving landscape of cloud computing, optimizing energy efficiency across the edge-cloud continuum is crucial for sustainability and cost-effectiveness. We introduce GMB-ECC, a framework for measuring and benchmarking energy consumption across the software and hardware layers of the edge-cloud continuum. GMB-ECC enables energy assessments in diverse environments and introduces a precision parameter to adjust measurement complexity, accommodating system heterogeneity. We demonstrate GMB-ECC's applicability in an autonomous intra-logistic use case, highlighting its adaptability and capability in optimizing energy efficiency without compromising performance. Thus, this framework not only assists in accurate energy assessments but also guides strategic optimizations, cultivating sustainable and cost-effective operations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_07183 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GMB-ECC: Guided Measuring and Benchmarking of the Edge Cloud Continuum Jahnke, Brian-Frederik Schmook, Rebecca Howar, Falk Distributed, Parallel, and Cluster Computing In the evolving landscape of cloud computing, optimizing energy efficiency across the edge-cloud continuum is crucial for sustainability and cost-effectiveness. We introduce GMB-ECC, a framework for measuring and benchmarking energy consumption across the software and hardware layers of the edge-cloud continuum. GMB-ECC enables energy assessments in diverse environments and introduces a precision parameter to adjust measurement complexity, accommodating system heterogeneity. We demonstrate GMB-ECC's applicability in an autonomous intra-logistic use case, highlighting its adaptability and capability in optimizing energy efficiency without compromising performance. Thus, this framework not only assists in accurate energy assessments but also guides strategic optimizations, cultivating sustainable and cost-effective operations. |
| title | GMB-ECC: Guided Measuring and Benchmarking of the Edge Cloud Continuum |
| topic | Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2503.07183 |