An energy-efficient algorithm for virtual machine placement optimization in cloud data centers

Sadoon Azizi, Maz’har Zandsalimi, Dawei Li

Research output: Contribution to journalArticlepeer-review

63 Scopus citations


Cloud providers offer computing services based on user demands using the Infrastructure as a Service (IaaS) service model. In a cloud data center, it is possible that multiple Virtual Machines (VMs) run on a Physical Machine (PM) using virtualization technology. Virtual Machine Placement (VMP) problem is the mapping of virtual machines across multiple physical ones. This process plays a vital role in defining energy consumption and resource usage efficiency in the cloud data center infrastructure. However, providing an efficient solution is not trivial due to difficulties such as machine heterogeneity, multi-dimensional resources, and large scale cloud data centers. In this paper, we propose an efficient heuristic algorithm that focuses on power consumption and resource wastage optimization to solve the aforementioned problem. The proposed algorithm, called MinPR, minimizes the total power consumption by reducing the number of active physical machines and prioritizing the power-efficient ones. Also, it reduces resource wastage by maximizing and balancing resource utilization among physical machines. To achieve these goals, we propose a new Resource Usage Factor model that manages virtual machine placement on physical machines using reward and penalty mechanisms. Simulations based on cloud user-customized VMs and Amazon EC2 Instances workloads illustrate that the proposed algorithm outperforms existing approaches. In particular, the proposed algorithm reduces total energy consumption by up to 15% for cloud user-customized VMs and by up to 10% for Amazon EC2 Instances.

Original languageEnglish
Pages (from-to)3421-3434
Number of pages14
JournalCluster Computing
Issue number4
StatePublished - 1 Dec 2020


  • Cloud computing
  • Energy efficiency
  • Infrastructure as a service (IaaS)
  • Optimization
  • Resource utilization
  • Virtual machine placement (VMP)


Dive into the research topics of 'An energy-efficient algorithm for virtual machine placement optimization in cloud data centers'. Together they form a unique fingerprint.

Cite this