.png){kind=icon}
.png){kind=icon}
Return
Energy Efficient VM Selection Using CSOA-VM Model in Cloud Data Centers
.png){kind=icon}
OA
AI
DOI：10.1049/cit2.70018.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The cloud data centres evolved with an issue of energy management due to the constant increase in size, complexity and enormous consumption of energy. Energy management is a challenging issue that is critical in cloud data centres and an important concern of research for many researchers. In this paper, we proposed a cuckoo search (CS)-based optimisation technique for the virtual machine (VM) selection and a novel placement algorithm considering the different constraints. The energy consumption model and the simulation model have been implemented for the efficient selection of VM. The proposed model CSOA-VM not only lessens the violations at the service level agreement (SLA) level but also minimises the VM migrations. The proposed model also saves energy and the performance analysis shows that energy consumption obtained is 1.35 kWh, SLA violation is 9.2 and VM migration is about 268. Thus, there is an improvement in energy consumption of about 1.8% and a 2.1% improvement (reduction) in violations of SLA in comparison to existing techniques.
Keywords:
cloud computing
data analysis
data protection
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.3
Papers:
649
Citations:
2.4K
View more organizations