DocumentCode :
1679473
Title :
VM-centric snapshot deduplication for cloud data backup
Author :
Wei Zhang ; Agun, Daniel ; Tao Yang ; Wolski, Rich ; Hong Tang
Author_Institution :
Univ. of California at Santa Barbara, Santa Barbara, CA, USA
fYear :
2015
Firstpage :
1
Lastpage :
12
Abstract :
Data deduplication is important for snapshot backup of virtual machines (VMs) because of excessive redundant content. Fingerprint search for source-side duplicate detection is resource intensive when the backup service for VMs is co-located with other cloud services. This paper presents the design and analysis of a fast VM-centric backup service with a tradeoff for a competitive deduplication efficiency while using small computing resources, suitable for running on a converged cloud architecture that cohosts many other services. The design consideration includes VM-centric file system block management for the increased VM snapshot availability. This paper describes an evaluation of this VM-centric scheme to assess its deduplication efficiency, resource usage, and fault tolerance.
Keywords :
back-up procedures; cloud computing; data compression; file organisation; virtual machines; VM snapshot availability; VM-centric backup service; VM-centric file system block management; VM-centric scheme; VM-centric snapshot deduplication; cloud data backup; cloud service; competitive deduplication efficiency; computing resource; converged cloud architecture; data deduplication; design consideration; fault tolerance; fingerprint search; redundant content; resource intensive; resource usage; snapshot backup; source-side duplicate detection; virtual machine; Approximation methods; Cloud computing; Computer architecture; Indexes; Servers; Virtual machining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mass Storage Systems and Technologies (MSST), 2015 31st Symposium on
Conference_Location :
Santa Clara, CA
Type :
conf
DOI :
10.1109/MSST.2015.7208294
Filename :
7208294
Link To Document :
بازگشت