Title :
Redundancy Aware Virtual Disk Mobility for Cloud Computing
Author :
Karve, Alexei ; Kochut, Andrzej
Author_Institution :
IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA
fDate :
June 28 2013-July 3 2013
Abstract :
With multiplicity of Cloud service providers offering geographically distributed Compute Clouds, both providers and customers find it necessary to quickly move virtual machine images between data centers. This is usually accomplished using standard rsync-based transfer which is slow and bandwidth intensive given large size of virtual machine images. This article proposes a mechanism to reconstitute an image on target data center using information about overlap among images and content already available in the target data center. No changes to file system are needed and the approach can immediately be used with traditional libraries storing images as regular files. Moreover, we use a peer-to-peer approach that allows simultaneous retrieval of fragments from multiple data centers. The system and algorithms have been implemented and evaluated on two Compute Cloud environments using three image libraries representative for a typical service provider. The evaluation shows an average 6 times reduction in terms of network transfer volume and time and can result in even larger reductions in case of images with small configuration changes.
Keywords :
cloud computing; disc storage; storage management; virtual machines; cloud computing; cloud service providers; compute cloud environments; data centers; file system; fragments retrieval; geographically distributed compute clouds; image libraries; images overlap; network transfer volume; peer-to-peer approach; redundancy aware virtual disk mobility; virtual machine images; Bandwidth; Cloud computing; Clustering algorithms; Indexes; Libraries; Redundancy; Virtual machining; cloud; p2p; redundancy; virtual disk;
Conference_Titel :
Cloud Computing (CLOUD), 2013 IEEE Sixth International Conference on
Conference_Location :
Santa Clara, CA
Print_ISBN :
978-0-7695-5028-2
DOI :
10.1109/CLOUD.2013.114