@inproceedings{98ad21dff65646879b10a138ba71a17f,
title = "Exploiting the locality of virtual-machine images to boost the performance of a cloud platform",
abstract = "Virtualization technology enables multiple virtual machines(VMs) to run on a physical mechanism. Due to the excessive data-intensive workloads of VMs, the system I/O performance of cloud platforms deteriorates. To improve the system I/O performance, one key technique is to exploit the spatial locality of data stored on the back-end disks. However, identifying data spatial locality on a cloud platform becomes challenging due to the transparency feature of virtualization. Therefore, to resolve the problem of poor disk I/O, this paper proposes an inter-VMs locality packing design to increase the number of sequential I/O accesses on back-end disks so as to improve disk I/O efficiency through exploiting the spatial locality of virtual machine images. Moreover, the proposed deign does not compromise the transparency of virtualization technique. A simulator architecture is also proposed to assess the performance of the proposed inter-VMs locality packing design.",
author = "Chen, {Shuo Han} and Chen, {Tseng Yi} and Lee, {Chi Heng} and Wei, {Hsin Wen} and Hsu, {Tsan Sheng} and Shih, {Wei Kuan}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 37th IEEE Sarnoff Symposium, Sarnoff 2016 ; Conference date: 19-09-2016 Through 21-09-2016",
year = "2017",
month = feb,
day = "7",
doi = "10.1109/SARNOF.2016.7846723",
language = "???core.languages.en_GB???",
series = "37th IEEE Sarnoff Symposium, Sarnoff 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "37th IEEE Sarnoff Symposium, Sarnoff 2016",
}