Banking theory based distributed resource management and scheduling for hybrid cloud computing

Feng Yun; Hao Li; Joan Lu

doi:10.4028/www.scientific.net/AMM.427-429.2928

Banking theory based distributed resource management and scheduling for hybrid cloud computing

Feng Yun, Hao Li, Joan Lu

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

Abstract

Cloud computing is becoming more and more mature, and an IaaS could computing model called Cloud Bank [1], which is based on commercial bank model, has been designed. Could Bank model can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. This new model cloud offers new way to manage resource consumer, bank, and resource provider and maximize all participants' benefits. Meanwhile, the new cloud bank model follows the way of commerce bank to against the risk during the transaction. This model may be new solutions for hybrid cloud computing management.

Original language	English
Title of host publication	Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry
Publisher	Scientific.net
Pages	2928-2935
Number of pages	8
ISBN (Print)	9783037858905
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.427-429.2928
Publication status	Published - 30 Oct 2013
Event	2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization - Chongqing, China Duration: 14 Sept 2013 → 15 Sept 2013 Conference number: 2

Publication series

Name	Applied Mechanics and Materials
Volume	427-429
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization
Abbreviated title	MEIEI 2013
Country/Territory	China
City	Chongqing
Period	14/09/13 → 15/09/13

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10.4028/www.scientific.net/AMM.427-429.2928Licence: Unspecified

Cite this

Yun, F., Li, H., & Lu, J. (2013). Banking theory based distributed resource management and scheduling for hybrid cloud computing. In Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry (pp. 2928-2935). (Applied Mechanics and Materials; Vol. 427-429). Scientific.net. https://doi.org/10.4028/www.scientific.net/AMM.427-429.2928

@inproceedings{1252199fcd3b43af96bd38e08d2f20fb,

title = "Banking theory based distributed resource management and scheduling for hybrid cloud computing",

abstract = "Cloud computing is becoming more and more mature, and an IaaS could computing model called Cloud Bank [1], which is based on commercial bank model, has been designed. Could Bank model can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. This new model cloud offers new way to manage resource consumer, bank, and resource provider and maximize all participants' benefits. Meanwhile, the new cloud bank model follows the way of commerce bank to against the risk during the transaction. This model may be new solutions for hybrid cloud computing management.",

keywords = "Cloud Bank model, Hybrid cloud computing, Pareto optimality, Pricing, Risk prediction, Scheduling",

author = "Feng Yun and Hao Li and Joan Lu",

year = "2013",

month = oct,

day = "30",

doi = "10.4028/www.scientific.net/AMM.427-429.2928",

language = "English",

isbn = "9783037858905",

series = "Applied Mechanics and Materials",

publisher = "Scientific.net",

pages = "2928--2935",

booktitle = "Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry",

address = "Switzerland",

note = "2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, MEIEI 2013 ; Conference date: 14-09-2013 Through 15-09-2013",

}

Yun, F, Li, H & Lu, J 2013, Banking theory based distributed resource management and scheduling for hybrid cloud computing. in Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. Applied Mechanics and Materials, vol. 427-429, Scientific.net, pp. 2928-2935, 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization, Chongqing, China, 14/09/13. https://doi.org/10.4028/www.scientific.net/AMM.427-429.2928

Banking theory based distributed resource management and scheduling for hybrid cloud computing. / Yun, Feng; Li, Hao; Lu, Joan.
Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry. Scientific.net, 2013. p. 2928-2935 (Applied Mechanics and Materials; Vol. 427-429).

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

TY - GEN

T1 - Banking theory based distributed resource management and scheduling for hybrid cloud computing

AU - Yun, Feng

AU - Li, Hao

AU - Lu, Joan

N1 - Conference code: 2

PY - 2013/10/30

Y1 - 2013/10/30

N2 - Cloud computing is becoming more and more mature, and an IaaS could computing model called Cloud Bank [1], which is based on commercial bank model, has been designed. Could Bank model can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. This new model cloud offers new way to manage resource consumer, bank, and resource provider and maximize all participants' benefits. Meanwhile, the new cloud bank model follows the way of commerce bank to against the risk during the transaction. This model may be new solutions for hybrid cloud computing management.

AB - Cloud computing is becoming more and more mature, and an IaaS could computing model called Cloud Bank [1], which is based on commercial bank model, has been designed. Could Bank model can be partly distinguished from other traditional IaaS providers by the sources of infrastructure resources. This new model cloud offers new way to manage resource consumer, bank, and resource provider and maximize all participants' benefits. Meanwhile, the new cloud bank model follows the way of commerce bank to against the risk during the transaction. This model may be new solutions for hybrid cloud computing management.

KW - Cloud Bank model

KW - Hybrid cloud computing

KW - Pareto optimality

KW - Pricing

KW - Risk prediction

KW - Scheduling

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U2 - 10.4028/www.scientific.net/AMM.427-429.2928

DO - 10.4028/www.scientific.net/AMM.427-429.2928

M3 - Conference contribution

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SN - 9783037858905

T3 - Applied Mechanics and Materials

SP - 2928

EP - 2935

BT - Mechanical Engineering, Industrial Electronics and Information Technology Applications in Industry

PB - Scientific.net

T2 - 2nd International Conference on Mechanical Engineering, Industrial Electronics and Informatization

Y2 - 14 September 2013 through 15 September 2013

ER -

Banking theory based distributed resource management and scheduling for hybrid cloud computing

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