Nowadays, an important topic that is considered a lot is how to integrate Machine Learning(ML) to cloud resources management. In this study, our goal is to explore the most important cloud resources management issues that have been combined with ML and which present many promising results. To accomplish this, we used chronological charts based on some keywords that we considered important and tried to answer the question: is ML suitable for resources management problems in the cloud? Furthermore, a short discussion takes place on the data that are available and the open challenges on it. A big collection of researches is used to make sensible comparisons between the ML techniques that are used in the different kinds of cloud resources management fields and we propose the most suitable ML model for each field. 1
翻译:目前,人们广泛思考的一个重要议题是如何将机器学习(ML)与云层资源管理结合起来。在本研究中,我们的目标是探索最重要的云层资源管理问题,这些问题已经与云层资源管理相结合,并提出了许多有希望的结果。为了实现这一目标,我们使用了基于一些关键词的按时间顺序排列的图表,我们认为这些关键词很重要,并试图回答这样一个问题:ML是否适合云层的资源管理问题?此外,还简短地讨论了现有数据及其面临的公开挑战。大量研究被用来对在不同类型的云层资源管理领域使用的云层资源管理技术进行合理比较,并为每个领域提出了最合适的ML模型。 1