Exploiting the locality of virtual-machine images to boost the performance of a cloud platform

Shuo Han Chen; Tseng Yi Chen; Chi Heng Lee; Hsin Wen Wei; Tsan Sheng Hsu; Wei Kuan Shih

doi:10.1109/SARNOF.2016.7846723

Exploiting the locality of virtual-machine images to boost the performance of a cloud platform

Shuo Han Chen, Tseng Yi Chen, Chi Heng Lee, Hsin Wen Wei, Tsan Sheng Hsu, Wei Kuan Shih

Institute of Artificial Intelligence Innovation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	37th IEEE Sarnoff Symposium, Sarnoff 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509015405
DOIs	https://doi.org/10.1109/SARNOF.2016.7846723
State	Published - 7 Feb 2017
Event	37th IEEE Sarnoff Symposium, Sarnoff 2016 - Newark, United States Duration: 19 Sep 2016 → 21 Sep 2016

Publication series

Name	37th IEEE Sarnoff Symposium, Sarnoff 2016

Conference

Conference	37th IEEE Sarnoff Symposium, Sarnoff 2016
Country/Territory	United States
City	Newark
Period	19/09/16 → 21/09/16

Access to Document

10.1109/SARNOF.2016.7846723

Cite this

Chen, S. H., Chen, T. Y., Lee, C. H., Wei, H. W., Hsu, T. S., & Shih, W. K. (2017). Exploiting the locality of virtual-machine images to boost the performance of a cloud platform. In 37th IEEE Sarnoff Symposium, Sarnoff 2016 Article 7846723 (37th IEEE Sarnoff Symposium, Sarnoff 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SARNOF.2016.7846723

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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",

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doi = "10.1109/SARNOF.2016.7846723",

language = "English",

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Chen, SH, Chen, TY, Lee, CH, Wei, HW, Hsu, TS & Shih, WK 2017, Exploiting the locality of virtual-machine images to boost the performance of a cloud platform. in 37th IEEE Sarnoff Symposium, Sarnoff 2016., 7846723, 37th IEEE Sarnoff Symposium, Sarnoff 2016, Institute of Electrical and Electronics Engineers Inc., 37th IEEE Sarnoff Symposium, Sarnoff 2016, Newark, United States, 19/09/16. https://doi.org/10.1109/SARNOF.2016.7846723

Exploiting the locality of virtual-machine images to boost the performance of a cloud platform. / Chen, Shuo Han; Chen, Tseng Yi; Lee, Chi Heng et al.
37th IEEE Sarnoff Symposium, Sarnoff 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7846723 (37th IEEE Sarnoff Symposium, Sarnoff 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Exploiting the locality of virtual-machine images to boost the performance of a cloud platform

AU - Chen, Shuo Han

AU - Chen, Tseng Yi

AU - Lee, Chi Heng

AU - Wei, Hsin Wen

AU - Hsu, Tsan Sheng

AU - Shih, Wei Kuan

PY - 2017/2/7

Y1 - 2017/2/7

N2 - 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.

AB - 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.

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Exploiting the locality of virtual-machine images to boost the performance of a cloud platform

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