An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers

作者：

Highlights：

• Dealing with dynamic virtual machine placement in data centers for energy efficiency.

• Formulated the problem as a constrained optimization with profile information.

• An ant colony system embedded with new heuristics to solve the problem.

• Significant increase in energy efficiency of data centers.

摘要

•Dealing with dynamic virtual machine placement in data centers for energy efficiency.•Formulated the problem as a constrained optimization with profile information.•An ant colony system embedded with new heuristics to solve the problem.•Significant increase in energy efficiency of data centers.

论文关键词：Data center,Energy efficiency,Optimization,Virtual Machine Placement,Profile,Ant Colony System

论文评审过程：Received 18 August 2018, Revised 21 November 2018, Accepted 22 November 2018, Available online 22 November 2018, Version of Record 29 November 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.029