Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers

作者：

Highlights：

• RL VM consolidation model capable of optimizing the distribution of VMs.

• Comparative study to evaluating RL learning algorithms and mechanisms.

• Energy efficient and performance driven RL consolidation approach.

• Applying reward shaping for improved guidance during the learning process.

摘要

•RL VM consolidation model capable of optimizing the distribution of VMs.•Comparative study to evaluating RL learning algorithms and mechanisms.•Energy efficient and performance driven RL consolidation approach.•Applying reward shaping for improved guidance during the learning process.

论文关键词：Energy efficiency,Virtual machine consolidation,Reinforcement learning,Artificial intelligence

论文评审过程：Received 9 June 2020, Revised 17 November 2020, Accepted 13 January 2021, Available online 19 January 2021, Version of Record 26 March 2022.

论文官网地址：https://doi.org/10.1016/j.is.2021.101722