Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server

Minho Lee; Young Ik Eom

doi:10.1109/ICCE.2018.8326215

Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server

Minho Lee, Young Ik Eom

Department of Computer Science and Engineering

Sungkyunkwan University

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

Abstract

Nowadays, home cloud servers have adopted virtualization technologies to fully utilize their own computing resources. In this paper, we introduce a novel data cluster management scheme for qcow2-based virtual disk to improve I/O performance and storage space efficiency of the home cloud server. Our scheme aims to mitigate the sync amplification problem of qcow2 format, caused by allocating data clusters in a grow-only manner. To achieve the goal, we try to reuse the allocated data clusters that are no longer in use. Our experimental results show that our scheme improves I/O performance and reduces the number of sync operations, by up to 52.7% and 59.8%, respectively, compared with the conventional scheme.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Editors	Saraju P. Mohanty, Peter Corcoran, Hai Li, Anirban Sengupta, Jong-Hyouk Lee
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-3
Number of pages	3
ISBN (Electronic)	9781538630259
DOIs	https://doi.org/10.1109/ICCE.2018.8326215
State	Published - 26 Mar 2018
Event	2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States Duration: 12 Jan 2018 → 14 Jan 2018

Publication series

Name	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Volume	2018-January

Conference

Conference	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Country/Territory	United States
City	Las Vegas
Period	12/01/18 → 14/01/18

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10.1109/ICCE.2018.8326215

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Lee, M., & Eom, Y. I. (2018). Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server. In S. P. Mohanty, P. Corcoran, H. Li, A. Sengupta, & J.-H. Lee (Eds.), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 (pp. 1-3). (2018 IEEE International Conference on Consumer Electronics, ICCE 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2018.8326215

Lee, Minho ; Eom, Young Ik. / Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server. 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. editor / Saraju P. Mohanty ; Peter Corcoran ; Hai Li ; Anirban Sengupta ; Jong-Hyouk Lee. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-3 (2018 IEEE International Conference on Consumer Electronics, ICCE 2018).

@inproceedings{a4b12b0871464b51a01abf42ac83d557,

title = "Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server",

abstract = "Nowadays, home cloud servers have adopted virtualization technologies to fully utilize their own computing resources. In this paper, we introduce a novel data cluster management scheme for qcow2-based virtual disk to improve I/O performance and storage space efficiency of the home cloud server. Our scheme aims to mitigate the sync amplification problem of qcow2 format, caused by allocating data clusters in a grow-only manner. To achieve the goal, we try to reuse the allocated data clusters that are no longer in use. Our experimental results show that our scheme improves I/O performance and reduces the number of sync operations, by up to 52.7\% and 59.8\%, respectively, compared with the conventional scheme.",

author = "Minho Lee and Eom, \{Young Ik\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Consumer Electronics, ICCE 2018 ; Conference date: 12-01-2018 Through 14-01-2018",

year = "2018",

month = mar,

day = "26",

doi = "10.1109/ICCE.2018.8326215",

language = "English",

series = "2018 IEEE International Conference on Consumer Electronics, ICCE 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--3",

editor = "Mohanty, \{Saraju P.\} and Peter Corcoran and Hai Li and Anirban Sengupta and Jong-Hyouk Lee",

booktitle = "2018 IEEE International Conference on Consumer Electronics, ICCE 2018",

}

Lee, M & Eom, YI 2018, Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server. in SP Mohanty, P Corcoran, H Li, A Sengupta & J-H Lee (eds), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-3, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, Las Vegas, United States, 12/01/18. https://doi.org/10.1109/ICCE.2018.8326215

Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server. / Lee, Minho; Eom, Young Ik.
2018 IEEE International Conference on Consumer Electronics, ICCE 2018. ed. / Saraju P. Mohanty; Peter Corcoran; Hai Li; Anirban Sengupta; Jong-Hyouk Lee. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-3 (2018 IEEE International Conference on Consumer Electronics, ICCE 2018; Vol. 2018-January).

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

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T1 - Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server

AU - Lee, Minho

AU - Eom, Young Ik

PY - 2018/3/26

Y1 - 2018/3/26

N2 - Nowadays, home cloud servers have adopted virtualization technologies to fully utilize their own computing resources. In this paper, we introduce a novel data cluster management scheme for qcow2-based virtual disk to improve I/O performance and storage space efficiency of the home cloud server. Our scheme aims to mitigate the sync amplification problem of qcow2 format, caused by allocating data clusters in a grow-only manner. To achieve the goal, we try to reuse the allocated data clusters that are no longer in use. Our experimental results show that our scheme improves I/O performance and reduces the number of sync operations, by up to 52.7% and 59.8%, respectively, compared with the conventional scheme.

AB - Nowadays, home cloud servers have adopted virtualization technologies to fully utilize their own computing resources. In this paper, we introduce a novel data cluster management scheme for qcow2-based virtual disk to improve I/O performance and storage space efficiency of the home cloud server. Our scheme aims to mitigate the sync amplification problem of qcow2 format, caused by allocating data clusters in a grow-only manner. To achieve the goal, we try to reuse the allocated data clusters that are no longer in use. Our experimental results show that our scheme improves I/O performance and reduces the number of sync operations, by up to 52.7% and 59.8%, respectively, compared with the conventional scheme.

UR - https://www.scopus.com/pages/publications/85048779596

U2 - 10.1109/ICCE.2018.8326215

DO - 10.1109/ICCE.2018.8326215

M3 - Conference contribution

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T3 - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018

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BT - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018

A2 - Mohanty, Saraju P.

A2 - Corcoran, Peter

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A2 - Sengupta, Anirban

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Conference on Consumer Electronics, ICCE 2018

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Lee M, Eom YI. Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server. In Mohanty SP, Corcoran P, Li H, Sengupta A, Lee JH, editors, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-3. (2018 IEEE International Conference on Consumer Electronics, ICCE 2018). doi: 10.1109/ICCE.2018.8326215

Efficient data cluster management scheme for Qcow2-based virtual disk in home cloud server

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