Title
The Case for Content Search of VM Clouds
Abstract
The success of cloud computing can lead to large, centralized collections of virtual machine (VM) images. The ability to interactively search these VM images at a high semantic level emerges as an important capability. This paper examines the opportunities and challenges in creating such a search capability, and presents early evidence of its feasibility.
Year
DOI
Venue
2010
10.1109/COMPSACW.2010.97
COMPSAC Workshops
Keywords
Field
DocType
rc2,centralized collection,important capability,ec2,early evidence,virtual machine,virtual machines,search capability,virtual machine images,internet suspend/resume,semantic level,vm clouds,data-intensive computing,internet,discard-based search,vcl,forensic search,provenance,content search,deduplication,high semantic level,vm image,cloud computing,content-addressable storage,diamond,query formulation,isr,semantics,servers,linux,data intensive computing
Data deduplication,Virtual machine,Information retrieval,Data-intensive computing,Computer science,Server,Real-time computing,Content-addressable storage,Database,Semantics,Cloud computing,The Internet
Conference
ISBN
Citations 
PageRank 
978-0-7695-4105-1
12
0.90
References 
Authors
12
5
Name
Order
Citations
PageRank
M. Satyanarayanan187741707.65
Wolfgang Richter21128.66
Glenn Ammons342425.93
Jan Harkes420624.04
Adam Goode51156.12