English(EN) Energy Estimation for Virtual Servers Using Resource Utilization and Machine Learning

机器学习根据内部指标估算虚拟服务器能耗

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-23 04:00

一篇新的研究论文探讨了使用机器学习估算虚拟服务器的能耗。该研究提出了一种方法，利用服务器内部可观测的系统和性能指标来预测归因于虚拟服务器的CPU包功耗。虽然该方法在训练数据覆盖部署条件时显示出强大的预测准确性，但当迁移到未见过的负载、硬件或配置时，其可靠性会下降。 AI

影响这项研究可能带来更准确的云基础设施能耗监测，从而优化资源分配并降低运营成本。

排序理由关于一种新颖的机器学习估算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 5 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 关于一种新颖的机器学习估算方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Same-day; Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

arXiv cs.LG TIER_1 English(EN) · Amandip Sangha · 2026-10-23 04:00

Energy Estimation for Virtual Servers Using Resource Utilization and Machine Learning

arXiv:2509.09991v2 Announce Type: replace Abstract: Estimating the energy use of virtual servers is difficult because physical power interfaces and privileged host counters are typically accessible only on the underlying physical host. We investigate a machine learning approach t…