Title :
A Virtual Machine Placement Taxonomy
Author :
Lopez Pires, Fabio ; Baran, Benjamin
Author_Institution :
Nat. Univ. of Asuncion, Paraguay
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.
Keywords :
carbon compounds; cloud computing; contracts; quality of service; virtual machines; QoS; carbon dioxide emissions; cloud computing data; cloud infrastructure management; cloud markets; cloud service pricing schemes; quality of service; service level agreement; virtual machine placement taxonomy; Cloud computing; Context; Energy consumption; Linear programming; Minimization; Optimization; Virtual machining; Cloud Computing; Consolidation; Optimization; Placement; Scheduling; Taxonomy;
Conference_Titel :
Cluster, Cloud and Grid Computing (CCGrid), 2015 15th IEEE/ACM International Symposium on
Conference_Location :
Shenzhen
DOI :
10.1109/CCGrid.2015.15