Content area

Abstract

The emerging trend of Federated Cloud models enlist virtualization as a significant concept to offer a large scale distributed Infrastructure as a Service collaborative paradigm to end users. Virtualization leverage Virtual Machines (VM) instantiated from user specific templates labelled as VM Images (VMI). To this extent, the rapid provisioning of VMs with varying user requests ensuring Quality of Service (QoS) across multiple cloud providers largely depends upon the image repository architecture and distribution policies. We discuss the possible state-of-art in VMI storage repository and distribution mechanisms for efficient VM provisioning in federated clouds. In addition, we present and compare various representative systems in this realm. Furthermore, we define a design space, identify current limitations, challenges and open trends for VMI repositories and distribution techniques within federated infrastructure.

Details

1009240
Title
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues
Publication title
arXiv.org; Ithaca
Publication year
2019
Publication date
Jun 21, 2019
Section
Computer Science
Publisher
Cornell University Library, arXiv.org
Source
arXiv.org
Place of publication
Ithaca
Country of publication
United States
University/institution
Cornell University Library arXiv.org
e-ISSN
2331-8422
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Online publication date
2019-06-24
Milestone dates
2019-06-21 (Submission v1)
Publication history
 
 
   First posting date
24 Jun 2019
ProQuest document ID
2245977363
Document URL
https://www.proquest.com/working-papers/vm-image-repository-distribution-models-federated/docview/2245977363/se-2?accountid=208611
Full text outside of ProQuest
Copyright
© 2019. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2019-06-25
Database
ProQuest One Academic