Optimizing virtual machine consolidation performance on NUMA server architecture for cloud workloads

2014 ◽  
Author(s):  
Ming Liu ◽  
Tao Li
Keyword(s):  
Virtual Machine ◽  
Virtual Machine Consolidation ◽  
Cloud Workloads ◽  
Server Architecture

Hierarchical, Portfolio Theory-Based Virtual Machine Consolidation in a Compute Cloud

2018 ◽  
Vol 11 (1) ◽  
pp. 63-77 ◽  
Author(s):  
Inkwon Hwang ◽  
Massoud Pedram
Keyword(s):  
Virtual Machine ◽  
Portfolio Theory ◽  
Virtual Machine Consolidation

scholarly journals An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing

Sensors ◽  
2016 ◽  
Vol 16 (2) ◽  
pp. 246 ◽  
Author(s):  
Guangjie Han ◽  
Wenhui Que ◽  
Gangyong Jia ◽  
Lei Shu
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Multimedia Cloud ◽  
Virtual Machine Consolidation

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.

scholarly journals Enhancing Energy-Efficient and QoS Dynamic Virtual Machine Consolidation Method in Cloud Environment

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 31224-31235 ◽  
Author(s):  
Yaqiu Liu ◽  
Xinyue Sun ◽  
Wei Wei ◽  
Weipeng Jing
Keyword(s):  
Virtual Machine ◽  
Energy Efficient ◽  
Cloud Environment ◽  
Virtual Machine Consolidation

scholarly journals Robust optimization for energy-efficient virtual machine consolidation in modern datacenters

2018 ◽  
Vol 21 (3) ◽  
pp. 1681-1709 ◽  
Author(s):  
Robayet Nasim ◽  
Enrica Zola ◽  
Andreas J. Kassler
Keyword(s):  
Robust Optimization ◽  
Virtual Machine ◽  
Energy Efficient ◽  
Virtual Machine Consolidation

Improved beetle swarm optimization algorithm for energy efficient virtual machine consolidation on cloud environment

2022 ◽  
Author(s):  
Hariharan Bhagavathi ◽  
Siva Rathinavelayatham ◽  
Kaliraj Shanmugaiah ◽  
Kamaraj Kanagaraj ◽  
Dinesh Elangovan
Keyword(s):  
Virtual Machine ◽  
Optimization Algorithm ◽  
Energy Efficient ◽  
Cloud Environment ◽  
Swarm Optimization ◽  
Virtual Machine Consolidation
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