An analysis of network I/O workloads in virtualized cloud environment

Pu Xing; Yang Miao; Dai Chao; Lai Xingjun; Liu Mengxiao; Hu Jingjing

doi:10.1109/InfoSEEE.2014.6947780

An analysis of network I/O workloads in virtualized cloud environment

Pu Xing^*, Yang Miao, Dai Chao, Lai Xingjun, Liu Mengxiao, Hu Jingjing

^*Corresponding author for this work

School of Computer Science and Technology

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

Abstract

Nowadays, cloud computing is becoming a more and more prevalent platform to provide web services securely and conveniently in current data centers. For many well-known advantages, system virtualization turns to be a mainstream technology to build underlying infrastructures for cloud computing environment. Among a number of state-of-the-art Virtual Machine Monitors (VMMs), Xen is definitely to be a conspicuous hypervisor based VMM. However, there still lacks of in-depth understanding of the efficiency of I/O communication among multiple Virtual Machines (VMs) in both academic and industry areas, especially the burdensome network I/O workloads. In this paper, mathematical modeling methods are adopted to calculate the exchanged memory pages accurately in Xen I/O channel. According to our elaborately designed experimental evaluations, the proposed two equations could predict the number of exchanged memory pages around an average error rate of 6%, even in multiple VMs scenario. Meanwhile, we also analyzed the effects of varying MTU (Maximum Transmission Unit) size based on the theoretical analysis. Afterward, an effective optimization for network I/O performance is proposed in this paper as well.

Original language	English
Title of host publication	Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
Editors	Xiaohong Jiang, Shaozi Li, Ying Dai, Yun Cheng
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	814-817
Number of pages	4
ISBN (Electronic)	9781479931965
DOIs	https://doi.org/10.1109/InfoSEEE.2014.6947780
Publication status	Published - 5 Nov 2014
Event	2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 - Sapporo City, Hokkaido, Japan Duration: 26 Apr 2014 → 28 Apr 2014

Publication series

Name	Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
Volume	2

Conference

Conference	2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014
Country/Territory	Japan
City	Sapporo City, Hokkaido
Period	26/04/14 → 28/04/14

Keywords

Cloud Computing
I/O
Virtualization
Xen

Access to Document

10.1109/InfoSEEE.2014.6947780

Cite this

Xing, P., Miao, Y., Chao, D., Xingjun, L., Mengxiao, L., & Jingjing, H. (2014). An analysis of network I/O workloads in virtualized cloud environment. In X. Jiang, S. Li, Y. Dai, & Y. Cheng (Eds.), Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 (pp. 814-817). Article 6947780 (Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/InfoSEEE.2014.6947780

Xing, Pu ; Miao, Yang ; Chao, Dai et al. / An analysis of network I/O workloads in virtualized cloud environment. Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014. editor / Xiaohong Jiang ; Shaozi Li ; Ying Dai ; Yun Cheng. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 814-817 (Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014).

@inproceedings{767a913e59e548c6838ba7985b15799a,

title = "An analysis of network I/O workloads in virtualized cloud environment",

abstract = "Nowadays, cloud computing is becoming a more and more prevalent platform to provide web services securely and conveniently in current data centers. For many well-known advantages, system virtualization turns to be a mainstream technology to build underlying infrastructures for cloud computing environment. Among a number of state-of-the-art Virtual Machine Monitors (VMMs), Xen is definitely to be a conspicuous hypervisor based VMM. However, there still lacks of in-depth understanding of the efficiency of I/O communication among multiple Virtual Machines (VMs) in both academic and industry areas, especially the burdensome network I/O workloads. In this paper, mathematical modeling methods are adopted to calculate the exchanged memory pages accurately in Xen I/O channel. According to our elaborately designed experimental evaluations, the proposed two equations could predict the number of exchanged memory pages around an average error rate of 6%, even in multiple VMs scenario. Meanwhile, we also analyzed the effects of varying MTU (Maximum Transmission Unit) size based on the theoretical analysis. Afterward, an effective optimization for network I/O performance is proposed in this paper as well.",

keywords = "Cloud Computing, I/O, Virtualization, Xen",

author = "Pu Xing and Yang Miao and Dai Chao and Lai Xingjun and Liu Mengxiao and Hu Jingjing",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014 ; Conference date: 26-04-2014 Through 28-04-2014",

year = "2014",

month = nov,

day = "5",

doi = "10.1109/InfoSEEE.2014.6947780",

language = "English",

series = "Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014",

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

pages = "814--817",

editor = "Xiaohong Jiang and Shaozi Li and Ying Dai and Yun Cheng",

booktitle = "Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014",

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}

Xing, P, Miao, Y, Chao, D, Xingjun, L, Mengxiao, L & Jingjing, H 2014, An analysis of network I/O workloads in virtualized cloud environment. in X Jiang, S Li, Y Dai & Y Cheng (eds), Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014., 6947780, Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014, vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 814-817, 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014, Sapporo City, Hokkaido, Japan, 26/04/14. https://doi.org/10.1109/InfoSEEE.2014.6947780

An analysis of network I/O workloads in virtualized cloud environment. / Xing, Pu; Miao, Yang; Chao, Dai et al.
Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014. ed. / Xiaohong Jiang; Shaozi Li; Ying Dai; Yun Cheng. Institute of Electrical and Electronics Engineers Inc., 2014. p. 814-817 6947780 (Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014; Vol. 2).

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

TY - GEN

T1 - An analysis of network I/O workloads in virtualized cloud environment

AU - Xing, Pu

AU - Miao, Yang

AU - Chao, Dai

AU - Xingjun, Lai

AU - Mengxiao, Liu

AU - Jingjing, Hu

PY - 2014/11/5

Y1 - 2014/11/5

N2 - Nowadays, cloud computing is becoming a more and more prevalent platform to provide web services securely and conveniently in current data centers. For many well-known advantages, system virtualization turns to be a mainstream technology to build underlying infrastructures for cloud computing environment. Among a number of state-of-the-art Virtual Machine Monitors (VMMs), Xen is definitely to be a conspicuous hypervisor based VMM. However, there still lacks of in-depth understanding of the efficiency of I/O communication among multiple Virtual Machines (VMs) in both academic and industry areas, especially the burdensome network I/O workloads. In this paper, mathematical modeling methods are adopted to calculate the exchanged memory pages accurately in Xen I/O channel. According to our elaborately designed experimental evaluations, the proposed two equations could predict the number of exchanged memory pages around an average error rate of 6%, even in multiple VMs scenario. Meanwhile, we also analyzed the effects of varying MTU (Maximum Transmission Unit) size based on the theoretical analysis. Afterward, an effective optimization for network I/O performance is proposed in this paper as well.

AB - Nowadays, cloud computing is becoming a more and more prevalent platform to provide web services securely and conveniently in current data centers. For many well-known advantages, system virtualization turns to be a mainstream technology to build underlying infrastructures for cloud computing environment. Among a number of state-of-the-art Virtual Machine Monitors (VMMs), Xen is definitely to be a conspicuous hypervisor based VMM. However, there still lacks of in-depth understanding of the efficiency of I/O communication among multiple Virtual Machines (VMs) in both academic and industry areas, especially the burdensome network I/O workloads. In this paper, mathematical modeling methods are adopted to calculate the exchanged memory pages accurately in Xen I/O channel. According to our elaborately designed experimental evaluations, the proposed two equations could predict the number of exchanged memory pages around an average error rate of 6%, even in multiple VMs scenario. Meanwhile, we also analyzed the effects of varying MTU (Maximum Transmission Unit) size based on the theoretical analysis. Afterward, an effective optimization for network I/O performance is proposed in this paper as well.

KW - Cloud Computing

KW - I/O

KW - Virtualization

KW - Xen

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M3 - Conference contribution

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T3 - Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014

SP - 814

EP - 817

BT - Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014

A2 - Jiang, Xiaohong

A2 - Li, Shaozi

A2 - Dai, Ying

A2 - Cheng, Yun

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 26 April 2014 through 28 April 2014

ER -

Xing P, Miao Y, Chao D, Xingjun L, Mengxiao L, Jingjing H. An analysis of network I/O workloads in virtualized cloud environment. In Jiang X, Li S, Dai Y, Cheng Y, editors, Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 814-817. 6947780. (Proceedings - 2014 International Conference on Information Science, Electronics and Electrical Engineering, ISEEE 2014). doi: 10.1109/InfoSEEE.2014.6947780

An analysis of network I/O workloads in virtualized cloud environment

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Keywords

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