Title
A Virtual Machine Placement Taxonomy
Abstract
Cloud computing data enters dynamically provide millions of virtual machines (VMs) in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large number of possible optimization criteria and different formulations that could be studied. VMP literature include relevant research topics such as energy efficiency, Service Level Agreement (SLA), Quality of Service (QoS), cloud service pricing schemes and carbon dioxide emissions, all of them with high economical and ecological impact. This work classifies an extensive up-to-date survey of the most relevant VMP literature proposing a novel taxonomy in order to identify research opportunities and define a general vision on this research area.
Year
DOI
Venue
2015
10.1109/CCGrid.2015.15
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Keywords
Field
DocType
Taxonomy,Placement,Scheduling,Consolidation,Cloud Computing,Optimization
Virtual machine,Scheduling (computing),Computer science,Efficient energy use,Service-level agreement,Quality of service,Energy consumption,Database,Cloud testing,Cloud computing,Distributed computing
Conference
ISSN
Citations 
PageRank 
2376-4414
22
0.80
References 
Authors
40
2
Name
Order
Citations
PageRank
Fabio López Pires1725.81
Benjamín Barán257247.27