Energy Efficient Virtual Machine Allocation in Cloud

2013 ◽  
Vol 389 ◽  
pp. 887-890
Author(s):  
Zhong Tang He ◽  
Xiao Qing Zhang ◽  
Tong Kai Ji ◽  
Zhi Wei Xu
Keyword(s):  
Virtual Machine ◽  
Energy Efficient ◽  
Data Centers ◽  
Electrical Energy ◽  
Evaluation Study ◽  
Virtual Machine Migration ◽  
Cloud Data ◽  
Cloud Data Centers ◽  
Machine Allocation ◽  
Virtual Machine Allocation

Cloud data centers hosting cloud applications consume huge amounts of electrical energy, contributing to high operational costs and carbon footprints to the environment. When virtualized resources of cloud data centers are allocated, the energy consumption is a problem to be considered necessarily. In this paper, three energy efficient virtual machine allocation algorithms are carried on experimental analysis, including MAX, DVFS and dynamic deployment algorithm (DDA). We have evaluated these algorithms by conducting a performance evaluation study using the CloudSim toolkit. The experimental results show that the dynamic virtual machine allocation algorithm like as DDA is more energy-efficient and the virtual machine migration is an efficient saving energy method.

Type-aware virtual machine management for energy efficient cloud data centers

2018 ◽  
Vol 19 ◽  
pp. 185-203 ◽  
Author(s):  
Auday Al-Dulaimy ◽  
Wassim Itani ◽  
Rached Zantout ◽  
Ahmed Zekri
Keyword(s):  
Virtual Machine ◽  
Energy Efficient ◽  
Data Centers ◽  
Cloud Data ◽  
Cloud Data Centers

scholarly journals Server Consolidation Based on Culture Multiple-Ant-Colony Algorithm in Cloud Computing

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2724 ◽  
Author(s):  
Yuan ◽  
Sun
Keyword(s):  
Energy Consumption ◽  
Virtual Machine ◽  
Ant Colony Algorithm ◽  
Data Centers ◽  
Virtual Machines ◽  
Ant Colony ◽  
Virtual Machine Migration ◽  
Server Consolidation ◽  
Cloud Data ◽  
Cloud Data Centers

High-energy consumption in data centers has become a critical issue. The dynamic server consolidation has significant effects on saving energy of a data center. An effective way to consolidate virtual machines is to migrate virtual machines in real time so that some light load physical machines can be turned off or switched to low-power mode. The present challenge is to reduce the energy consumption of cloud data centers. In this paper, for the first time, a server consolidation algorithm based on the culture multiple-ant-colony algorithm was proposed for dynamic execution of virtual machine migration, thus reducing the energy consumption of cloud data centers. The server consolidation algorithm based on the culture multiple-ant-colony algorithm (CMACA) finds an approximate optimal solution through a specific target function. The simulation results show that the proposed algorithm not only reduces the energy consumption but also reduces the number of virtual machine migration.

Energy-efficient framework for virtual machine consolidation in cloud data centers

2017 ◽  
Vol 14 (10) ◽  
pp. 192-201 ◽  
Author(s):  
Kejing He ◽  
Zhibo Li ◽  
Dongyan Deng ◽  
Yanhua Chen
Keyword(s):  
Virtual Machine ◽  
Energy Efficient ◽  
Data Centers ◽  
Cloud Data ◽  
Virtual Machine Consolidation ◽  
Cloud Data Centers
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