Energy-aware and multi-resource overload probability constraint-based virtual machine dynamic consolidation method

2018 ◽  
Vol 80 ◽  
pp. 139-156 ◽  
Author(s):  
Zhihua Li ◽  
Chengyu Yan ◽  
Lei Yu ◽  
Xinrong Yu
Keyword(s):  
Virtual Machine ◽  
Energy Aware ◽  
Dynamic Consolidation ◽  
Probability Constraint

scholarly journals Energy aware dynamic virtual machine consolidation in cloud data centers

2018 ◽  
Vol 7 (2.8) ◽  
pp. 550 ◽  
Author(s):  
G Anusha ◽  
P Supraja
Keyword(s):  
Energy Consumption ◽  
Virtual Machine ◽  
Data Centers ◽  
Energy Aware ◽  
Large Power ◽  
Complex Tasks ◽  
Cloud Data ◽  
Network Bandwidth ◽  
Virtual Machine Consolidation ◽  
Cloud Data Centers

Cloud computing is a growing technology now-a-days, which provides various resources to perform complex tasks. These complex tasks can be performed with the help of datacenters. Data centers helps the incoming tasks by providing various resources like CPU, storage, network, bandwidth and memory, which has resulted in the increase of the total number of datacenters in the world. These data centers consume large volume of energy for performing the operations and which leads to high operation costs. Resources are the key cause for the power consumption in data centers along with the air and cooling systems. Energy consumption in data centers is comparative to the resource usage. Excessive amount of energy consumption by datacenters falls out in large power bills. There is a necessity to increase the energy efficiency of such data centers. We have proposed an Energy aware dynamic virtual machine consolidation (EADVMC) model which focuses on pm selection, vm selection, vm placement phases, which results in the reduced energy consumption and the Quality of service (QoS) to a considerable level.

The Multi-Level SICC Algorithm Based Virtual Machine Dynamic Consolidation and FFD Algorithm

2016 ◽  
Vol E99.B (5) ◽  
pp. 1110-1120
Author(s):  
Changming ZHAO ◽  
Jian LIU ◽  
Jian LIU ◽  
Sani UMAR ABDULLAHI
Keyword(s):  
Virtual Machine ◽  
Dynamic Consolidation ◽  
Multi Level
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