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ENTICE VM Image Analysis and Optimised Fragmentation
2018
Journal of Grid Computing
ENTICE VM image analysis and optimised fragmentation http://researchonline.ljmu.ac.uk/7977/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Abstract Virtual machine (VM) images (VMIs) often share common parts of significant size as they are stored individually. Using existing de-duplication techniques for such images are non-trivial, impose serious technical challenges, and requires direct access to clouds' proprietary
doi:10.1007/s10723-018-9430-x
fatcat:6xvm34ixcfefdpq77jqc34wd6a