A privacy and price-aware inter-cloud system

Yuanfang Chi; Wei Cai; Zhen Hong; Chun Bun Henry Chan; Victor C.M. Leung

doi:10.1109/CloudCom.2015.50

A privacy and price-aware inter-cloud system

Yuanfang Chi, Wei Cai, Zhen Hong, Chun Bun Henry Chan, Victor C.M. Leung

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

Cloud service selection and financial expense are two main concerns of users considering adoption of cloud computing services. In this paper, we propose a novel cloud federation that is cognitive to the dynamic prices. The cloud federation system first determines on which cloud services should the user applications be deployed. Then, when a cloud provider is charging too high for a VM, the proposed system automatically migrates user tasks to a cloud system that is charging at a lower rate. We discuss the architectural framework and platform design, provide a mathematic formulation and investigate a total service fee minimization approach with privacy constraints. Preliminary simulation results demonstrate the proposed system can lower the cost of cloud services by exploiting the advantages of different price policies provided by multiple cloud providers.

Original language	English
Title of host publication	Proceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015
Publisher	IEEE
Pages	298-305
Number of pages	8
ISBN (Electronic)	9781467395601
DOIs	https://doi.org/10.1109/CloudCom.2015.50
Publication status	Published - 1 Feb 2016
Event	7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015 - Robson Square Campus of the University of British Columbia, Vancouver, Canada Duration: 30 Nov 2015 → 3 Dec 2015

Conference

Conference	7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015
Country/Territory	Canada
City	Vancouver
Period	30/11/15 → 3/12/15

Keywords

Cloud Computing
Cognitive
Inter-Cloud
Pricing
Privacy

ASJC Scopus subject areas

Computer Networks and Communications
Computational Theory and Mathematics

More information

10.1109/CloudCom.2015.50

Cite this

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abstract = "Cloud service selection and financial expense are two main concerns of users considering adoption of cloud computing services. In this paper, we propose a novel cloud federation that is cognitive to the dynamic prices. The cloud federation system first determines on which cloud services should the user applications be deployed. Then, when a cloud provider is charging too high for a VM, the proposed system automatically migrates user tasks to a cloud system that is charging at a lower rate. We discuss the architectural framework and platform design, provide a mathematic formulation and investigate a total service fee minimization approach with privacy constraints. Preliminary simulation results demonstrate the proposed system can lower the cost of cloud services by exploiting the advantages of different price policies provided by multiple cloud providers.",

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Chi, Y, Cai, W, Hong, Z, Chan, CBH & Leung, VCM 2016, A privacy and price-aware inter-cloud system. in Proceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015., 7396170, IEEE, pp. 298-305, 7th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2015, Vancouver, Canada, 30/11/15. https://doi.org/10.1109/CloudCom.2015.50

A privacy and price-aware inter-cloud system. / Chi, Yuanfang; Cai, Wei; Hong, Zhen et al.

Proceedings - IEEE 7th International Conference on Cloud Computing Technology and Science, CloudCom 2015. IEEE, 2016. p. 298-305 7396170.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Cloud service selection and financial expense are two main concerns of users considering adoption of cloud computing services. In this paper, we propose a novel cloud federation that is cognitive to the dynamic prices. The cloud federation system first determines on which cloud services should the user applications be deployed. Then, when a cloud provider is charging too high for a VM, the proposed system automatically migrates user tasks to a cloud system that is charging at a lower rate. We discuss the architectural framework and platform design, provide a mathematic formulation and investigate a total service fee minimization approach with privacy constraints. Preliminary simulation results demonstrate the proposed system can lower the cost of cloud services by exploiting the advantages of different price policies provided by multiple cloud providers.

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KW - Cognitive

KW - Inter-Cloud

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A privacy and price-aware inter-cloud system

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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