@inproceedings{a1ca573760da41358d1f941c32d2a27a,
title = "A paravirtualized file system for accelerating file I/O",
abstract = "With several new virtualization technologies, a virtual machine has gradually achieved higher performance. However, I/O-intensive workloads still suffer from performance deg-radation due to CPU mode switching and duplicated I/O stacks. In this paper, we propose a framework for improving file I/O performance in a virtualized environment, which consists of a paravirtualized file system, a shared queue, and an I/O-dedicated thread. The key idea is to make file I/O requests handled without mode switching and to bypass a guest I/O stack. We implemented a prototype and measured its performance. The results show that our framework gives 1.2-1.6 times better performance than virtio, and most of vmexits are eliminated.",
keywords = "file system, I/O stack, I/O virtualization, paravirtualization, vmexit",
author = "Kihong Lee and Dongwoo Lee and Eom, \{Young Ik\}",
year = "2014",
doi = "10.1109/BIGCOMP.2014.6741459",
language = "English",
isbn = "9781479939190",
series = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014",
publisher = "IEEE Computer Society",
pages = "309--313",
booktitle = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014",
note = "2014 International Conference on Big Data and Smart Computing, BIGCOMP 2014 ; Conference date: 15-01-2014 Through 17-01-2014",
}