Virtual machine migration in cloud data centers: a review, taxonomy, and open research issues

2015 ◽  
Vol 71 (7) ◽  
pp. 2473-2515 ◽  
Author(s):  
Raja Wasim Ahmad ◽  
Abdullah Gani ◽  
Siti Hafizah Ab. Hamid ◽  
Muhammad Shiraz ◽  
Feng Xia ◽  
...  
Keyword(s):  
Virtual Machine ◽  
Data Centers ◽  
Virtual Machine Migration ◽  
Research Issues ◽  
Cloud Data ◽  
Open Research ◽  
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.

Sign in / Sign up

Export Citation Format

Share Document