Paper Info
Title
An efficient approach for improving virtual machine placement in cloud computing environment.
Abstract
The ever increasing demand for the cloud services requires more data centres. The power consumption in the data centres is a challenging problem for cloud computing, which has not been considered properly by the data centre developer companies. Especially, large data centres struggle with the power cost and the Greenhouse gases production. Hence, employing the power efficient mechanisms are necessary to optimise the mentioned effects. Moreover, virtual machine (VM) placement can be used as an effective method to reduce the power consumption in data centres. In this paper by grouping both virtual and physical machines, and taking into account the maximum absolute deviation during the VM placement, the power consumption as well as the service level agreement (SLA) deviation in data centres are reduced. To this end, the best-fit decreasing algorithm is utilised in the simulation to reduce the power consumption by about 5% compared to the modified best-fit decreasing algorithm, and at the same time, the SLA violation is improved by 6%. Finally, the learning automata are used to a trade-off between power consumption reduction from one side, and SLA violation percentage from the other side.
Year
DOI
Venue
2017
10.1080/0952813X.2017.1310308
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE
Keywords
Field
DocType
Cloud computing,virtual machine placement,learning automata,power consumption,virtualisation
Virtualization,Virtual machine,Learning automata,Computer science,Effective method,Service-level agreement,Data center,Greenhouse gas,Distributed computing,Cloud computing
Journal
Volume
Issue
ISSN
29.0
6
0952-813X
Citations 
PageRank 
References 
12
0.53
23
Authors
3
Name
Order
Citations
PageRank
Mostafa Ghobaei Arani118916.41
Mahboubeh Shamsi2253.35
Ali A. Rahmanian3120.53