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LVMM: A lightweight virtual machine memory management architecture for virtual computing environment

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4 Author(s)
Weizhe Zhang ; Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China ; Tao Cheng ; Hui He ; Cheng, A.M.K.

Virtualization technology recently becomes a hot research topic again in both industry and academics. Some physical hardware such as processors and I/O devices are shared among virtual machines using time slicing, but the memory resource management is relatively complicated. A lightweight memory management architecture for multiple virtual machines is proposed, and it includes a mixture of self-adjustment and global-adjustment policies, both of which collaborate with each other to improve the memory efficiency. Experimental results show that our memory management method is effective, and significantly increase the performance of overall system about 20-30%.

Published in:

Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on  (Volume:1 )

Date of Conference:

4-7 Aug. 2011