文章基本信息

标题：Multideployment and Multisnapshotting on Clouds
本地全文：下载
作者：B. Subbarao ; S. Anilkumar ; Dr. P. Harini 等
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：3
页码：895-901
语种：English
出版社：Ayushmaan Technologies
摘要：Infrastructure as a Service (IaaS) cloud computing has revolutionized the way we think of acquiring resources by introducing a simple change: allowing users to lease computational resources from the cloud provider’s datacenter for a short time by deploying Virtual Machines (VMs) on these resources. This new model raises new challenges in the design and development of IaaS middleware. One of those challenges is the need to deploy a large number (hundreds or even thousands) of VM instances simultaneously. Once the VM instances are deployed, another challenge is to simulta- neously take a snapshot of many images and transfer them to persistent storage to support management tasks, such as suspend-resume and migration. With datacenters growing rapidly and configurations becoming heterogeneous, it is important to enable efficient concurrent deployment and snapshotting that are at the same time hypervisor independent and ensure a maximum compatibility with different configurations. This paper addresses these challenges by proposing a virtual file system specifically optimized for virtual machine image storage. It is based on a lazy transfer scheme coupled with object versioning that handles snapshotting transparently in a hypervisor-independent fashion, ensuring high portability for different configurations. Large-scale ex- periments on hundreds of nodes demonstrate excellent per- formance results: speedup for concurrent VM deployments ranges from a factor of 2 up to 25, with a reduction in band- width utilization of as much as 90%.
关键词：Large Scale;Virtual Machine Images;Deployment;Snapshot Ting;Lazy Propagation;Versioning;Cloning