Inventory-based resource management in cloud computing

Qinlong Jiang; Weibing Feng; Junjie Peng; Fangfang Han; Qing Li; Wu Zhang; Haitao Su

doi:10.1109/DCABES.2011.54

Inventory-based resource management in cloud computing

Qinlong Jiang^*, Weibing Feng, Junjie Peng, Fangfang Han, Qing Li, Wu Zhang, Haitao Su

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

As a new application model, cloud computing enables users to distribute virtual resource in cloud data center as demand. However, the performance declines as the increase of users. This paper focuses on the network and I/O performance decline due to the virtual machine image and virtual disk image densely deployment in Cloud computing management platform. The method and model for rapid deployment and resource share are proposed on basis of shared storage and inventory theory which is widely used in commodity market. Experiment shows the method can effectively alleviate the performance decline caused by users' dense image requests in cloud computing management platform. © 2011 IEEE.

Original language	English
Title of host publication	Proceedings - 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011
Pages	142-145
DOIs	https://doi.org/10.1109/DCABES.2011.54
Publication status	Published - 2011
Externally published	Yes
Event	2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011 - Wuxi, Jiangsu, China Duration: 14 Oct 2011 → 17 Oct 2011

Conference

Conference	2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011
Place	China
City	Wuxi, Jiangsu
Period	14/10/11 → 17/10/11

Research Keywords

cloud computing
inventory
resource management
virtualization

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10.1109/DCABES.2011.54

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@inproceedings{99112933d8af4ed6bb505f711a10cd29,

title = "Inventory-based resource management in cloud computing",

abstract = "As a new application model, cloud computing enables users to distribute virtual resource in cloud data center as demand. However, the performance declines as the increase of users. This paper focuses on the network and I/O performance decline due to the virtual machine image and virtual disk image densely deployment in Cloud computing management platform. The method and model for rapid deployment and resource share are proposed on basis of shared storage and inventory theory which is widely used in commodity market. Experiment shows the method can effectively alleviate the performance decline caused by users' dense image requests in cloud computing management platform. {\textcopyright} 2011 IEEE.",

keywords = "cloud computing, inventory, resource management, virtualization",

author = "Qinlong Jiang and Weibing Feng and Junjie Peng and Fangfang Han and Qing Li and Wu Zhang and Haitao Su",

year = "2011",

doi = "10.1109/DCABES.2011.54",

language = "English",

isbn = "9780769544151",

pages = "142--145",

booktitle = "Proceedings - 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011",

note = "2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011 ; Conference date: 14-10-2011 Through 17-10-2011",

}

Jiang, Q, Feng, W, Peng, J, Han, F, Li, Q, Zhang, W & Su, H 2011, Inventory-based resource management in cloud computing. in Proceedings - 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011., 6118584, pp. 142-145, 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011, Wuxi, Jiangsu, China, 14/10/11. https://doi.org/10.1109/DCABES.2011.54

Inventory-based resource management in cloud computing. / Jiang, Qinlong; Feng, Weibing; Peng, Junjie et al.
Proceedings - 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011. 2011. p. 142-145 6118584.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Inventory-based resource management in cloud computing

AU - Jiang, Qinlong

AU - Feng, Weibing

AU - Peng, Junjie

AU - Han, Fangfang

AU - Li, Qing

AU - Zhang, Wu

AU - Su, Haitao

PY - 2011

Y1 - 2011

N2 - As a new application model, cloud computing enables users to distribute virtual resource in cloud data center as demand. However, the performance declines as the increase of users. This paper focuses on the network and I/O performance decline due to the virtual machine image and virtual disk image densely deployment in Cloud computing management platform. The method and model for rapid deployment and resource share are proposed on basis of shared storage and inventory theory which is widely used in commodity market. Experiment shows the method can effectively alleviate the performance decline caused by users' dense image requests in cloud computing management platform. © 2011 IEEE.

AB - As a new application model, cloud computing enables users to distribute virtual resource in cloud data center as demand. However, the performance declines as the increase of users. This paper focuses on the network and I/O performance decline due to the virtual machine image and virtual disk image densely deployment in Cloud computing management platform. The method and model for rapid deployment and resource share are proposed on basis of shared storage and inventory theory which is widely used in commodity market. Experiment shows the method can effectively alleviate the performance decline caused by users' dense image requests in cloud computing management platform. © 2011 IEEE.

KW - cloud computing

KW - inventory

KW - resource management

KW - virtualization

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84862940474&origin=recordpage

U2 - 10.1109/DCABES.2011.54

DO - 10.1109/DCABES.2011.54

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9780769544151

SP - 142

EP - 145

BT - Proceedings - 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011

T2 - 2011 10th International Symposium on Distributed Computing and Applications to Business, Engineering and Science, DCABES 2011

Y2 - 14 October 2011 through 17 October 2011

ER -

Inventory-based resource management in cloud computing

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Research Keywords

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