Paper Info
Title
Adaptive Virtual Machine Provisioning in Elastic Multi-tier Cloud Platforms
Abstract
Virtual machines are allocated on demand in virtualized cloud platforms to provide flexible and reliable services. The major difficulty lies in satisfying the conflicting objectives of reducing response time while lowering resource costs. In this paper, a mathematical multi-tier framework for virtual machine allocation is proposed, which can be used to capture the performance of the cloud platform. We first use simulations to derive virtual resource allocation policies, and later use real benchmarking applications to verify the effectiveness of this framework. Experimental results show that the model can be simply and effectively used to satisfy the response time requirement as well as lowering the cost of using the virtual machine resources.
Year
DOI
Venue
2011
10.1109/NAS.2011.20
NAS
Keywords
Field
DocType
virtual resource allocation policy,use simulation,response time,cloud platform,response time requirement,virtual machine resource,virtual machine,adaptive virtual machine provisioning,resource cost,virtual machine allocation,elastic multi-tier cloud platforms,mathematical multi-tier framework,software as a service,servers,software reliability,virtual machines,resource manager,satisfiability,resource allocation,cloud computing,resource management
Resource management,Virtual machine,Computer science,Server,Response time,Real-time computing,Provisioning,Resource allocation,Benchmarking,Cloud computing,Distributed computing
Conference
Citations 
PageRank 
References 
2
0.43
8
Authors
5
Name
Order
Citations
PageRank
Fan Zhang113437.15
Junwei Cao293570.95
Hong Cai3214.89
James J. Mulcahy481.41
Cheng Wu5115493.20