An Energy-aware Virtual Machine Placement Algorithm in Cloud Data Center

2017 ◽  
Author(s):  
Mingzhe Tan ◽  
Ce Chi ◽  
Jiahao Zhang ◽  
Shichang Zhao ◽  
Guangli Li ◽  
...  
Keyword(s):  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Energy Aware ◽  
Cloud Data Center ◽  
Cloud Data ◽  
Placement Algorithm

scholarly journals An Distributed Virtual Machine Placement Algorithm for Balanced Resource Utilization and Low Energy Consumption

2018 ◽  
Vol 173 ◽  
pp. 03092
Author(s):  
Bo Li ◽  
Yun Wang
Keyword(s):  
Virtual Machine ◽  
Data Centers ◽  
Virtual Machine Placement ◽  
Vm Placement ◽  
Energy Aware ◽  
Cloud Data ◽  
Low Energy Consumption ◽  
Cloud Data Centers ◽  
Placement Algorithm ◽  
Heterogeneous Cloud

Virtual machine placement is the process of selecting the most suitable server in large cloud data centers to deploy newly-created VMs. Traditional load balancing or energy-aware VM placement approaches either allocate VMs to PMs in centralized manner or ignore PM’s cost-capacity ratio to implement energy-aware VM placement. We address these two issues by introducing a distributed VM placement approach. A auction-based VM placement algorithm is devised for help VM to find the most suitable server in large heterogeneous cloud data centers. Our algorithm is evaluated by simulation. Experimental results show two major improvements over the existing approaches for VM placement. First, our algorithm efficiently balances the utilization of multiple types of resource by minimizing the amount of physical servers used. Second, it reduces system cost compared with existing approaches in heterogeneous environment.

Efficient Virtual Machine Placement with Energy Saving in Cloud Data Center

2014 ◽  
Vol 1 (1) ◽  
pp. 15-26
Author(s):  
Madhukar Shelar ◽  
◽  
Shirish Sane ◽  
Vilas Kharat ◽  
Rushikesh Jadhav ◽  
...  
Keyword(s):  
Energy Saving ◽  
Virtual Machine ◽  
Data Center ◽  
Virtual Machine Placement ◽  
Cloud Data Center ◽  
Cloud Data
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