An energy-aware resource deployment algorithm for cloud data centers based on dynamic hybrid machine learning

作者：

Highlights：

• We have established the virtual machine and physical machine models.

• We extend the K-means clustering algorithm and the KNN classification algorithm.

• We have proposed the EHML algorithm.

• The test parameters refer to the real data provided by Amazon.

摘要

•We have established the virtual machine and physical machine models.•We extend the K-means clustering algorithm and the KNN classification algorithm.•We have proposed the EHML algorithm.•The test parameters refer to the real data provided by Amazon.

论文关键词：Machine learning,Supervised learning,Unsupervised learning,Cloud data center,Energy consumption optimization

论文评审过程：Received 20 December 2020, Revised 31 March 2021, Accepted 3 April 2021, Available online 5 April 2021, Version of Record 15 April 2021.

论文官网地址：https://doi.org/10.1016/j.knosys.2021.107020