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Title: Virtual-machine metadata optimization for I/O traffic reduction in mobile virtualization
Authors: Chen, R
Wang, Y
Hu, J
Liu, D
Shao, Z 
Guan, Y
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014, 2014, 6927204 How to cite?
Abstract: Mobile virtualization introduces extra layers in software stacks, which leads to performance degradation. Especially, each I/O operation has to pass through several software layers to reach the NAND-flash-based storage systems. Among all the I/O operations, a large percentage is updating metadata. Frequent updating metadata not only degrades overall I/O performance but also severely reduces flash memory lifetime. In this paper, we propose a novel I/O optimization technique to identify the metadata of a guest file system which are stored in a VM image file and frequently updated. Then these metadata are stored in a small additional non-volatile memory which is faster and more endurable to greatly improve flash memory's performance and lifetime. The proposed scheme is evaluated on a real hardware embedded platform. The experimental results show that the proposed techniques can effectively improve the I/O performance in mobile devices with virtualization.
Description: 2014 IEEE Non-Volatile Memory Systems and Applications Symposium, NVMSA 2014, 20-21 August 2014
ISBN: 9781479955763
DOI: 10.1109/NVMSA.2014.6927204
Appears in Collections:Conference Paper

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