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作者 Nickurak, Jeremy James
書名 Slimming Virtual Machines based on Filesystem Profile Data
國際標準書號 9780494679289
book jacket
說明 80 p
附註 Source: Masters Abstracts International, Volume: 49-02, page: 1228
Thesis (M.S.)--University of Alberta (Canada), 2010
Virtual machines (VMs) are useful mechanisms for better resource utilization, support for special software configurations, and the movement of packaged software across systems. Exploiting VM advantages in a production setting, however, often requires computer systems with the smallest possible disk-size footprint. Administrators and programmers who create VMs, however, may need a robust set of tools for development. This introduces an important conflict: Minimalism demands that packaged software be as small as possible, while completeness demands that nothing required is missing. We present a system called Lilliputia, which combines resource usage monitoring (through a Linux FUSE filesystem we created called StatFS), with a filtered cloning system, which copies an existing physical or virtual machine into a smaller clone. Finally, we show how Lilliputia can reduce the size of the Trellis Network-Attached-Storage (NAS) Bridge Appliance and the Chemical Shift to 3D Structure protein structure predictor to 10-30% of their original size
School code: 0351
Host Item Masters Abstracts International 49-02
主題 Computer Science
0984
Alt Author University of Alberta (Canada)
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