Robotics & Machine Learning Daily News2024,Issue(Jun.18) :114-114.

Data on Machine Learning Reported by Researchers at Faculty of Computer Science (Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection)

计算机科学学院研究人员报告的机器学习数据(使用机器学习和异常检测的基于特征的自适应云资源使用预测)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :114-114.

Data on Machine Learning Reported by Researchers at Faculty of Computer Science (Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection)

计算机科学学院研究人员报告的机器学习数据(使用机器学习和异常检测的基于特征的自适应云资源使用预测)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习的最新研究结果已经发表。根据波兰克拉科夫的新闻报道,NEWSRX编辑称,“管理云计算集群的挑战之一是根据客户的需求分配资源。为了使这种机制有效地工作,必须有足够的资源来维持连续运行,但不要过多地避免开销。”这项研究的财政支持者包括波兰科学和高等教育部部长Wo Edukacji i Nauki、克拉科夫AGH大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting out of Krakow, Poland, by N ewsRx editors, research stated, "One of the challenges in managing cloud computi ng clusters is assigning resources based on the customers' needs. For this mecha nism to work efficiently, it is imperative that there are sufficient resources r eserved to maintain continuous operation, but not too much to avoid overhead cos ts." Financial supporters for this research include Ministerstwo Edukacji i Nauki, Mi nistry of Science and Higher Education, Poland, AGH University of Krakow.

Key words

Krakow/Poland/Europe/Cyborgs/Emergin g Technologies/Machine Learning/Faculty of Computer Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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