The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory

Ruijie Zhao; Yu Zhao

doi:doi:10.11648/j.sjbm.20160403.16

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The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory

Ruijie Zhao, Yu Zhao

Published in Science Journal of Business and Management (Volume 4, Issue 3)

Received: 18 May 2016 Accepted: 28 May 2016 Published: 13 June 2016

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Abstract

The application of cloud computing is conducive to the efficient allocation of resources and cost reduction. With the vigorous development of cloud technology, more and more enterprises have involved in cloud services, so the competition among providers is increasingly fierce. How to formulate a reasonable price strategy is one of the current matters urgently needing solved for the long term benefit of the market. Only by establishing the good pricing strategy can enterprises better seize market and build a stable customer relationship. Based on the concept of cloud computing, this paper makes a brief comment on the study of the literature of the three types of pricing mechanisms in the business life cycle of cloud computing. It is pointed out that dynamic pricing can better meet the interests of both sides of supply and demand and become the main trend of future pricing. Future research needs to study the characteristics of the cloud service life cycle from the cloud services industry. Consider the long-term benefits of customers and suppliers, and develop dynamic pricing mechanism.

Published in	Science Journal of Business and Management (Volume 4, Issue 3)
DOI	10.11648/j.sjbm.20160403.16
Page(s)	102-107
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Cloud Computing Services, Pricing, The Life Cycle

References

[1]	The Ministry of Industry and Information Technology Institute. Sadie Cloud Computing Development white Paper (2015). (2015-04) http://max.book118.com/html/2015/1104/28492940.shtm
[2]	Khajeh-Hosseini A, Greenwood D, Somerville I. Cloud Migration: A case Study of Migrating an Enterprise it System to Iaas[C]. 2010 IEEE 3rd International Conference on Cloud Computing, Miami, Florida, USA, 2010: 450-457.
[3]	Mihailescu M, Teo Y M. Dynamic Resource Pricing on Federated Clouds [C]. 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, Melbourne, Victoria, Australia, 2010: 513-517.
[4]	Wang Q, Ren K, Meng X. When Cloud meets eBay: Towards Effective Pricing for Cloud Computing [C], EEEE INFOCOM 2012, Orlando, Florida, USA, 2012: 936-944.
[5]	Hu Zhigang, liu yan. Cloud Environment Dynamic Resource Pricing based on Combined Double Auction [J]. Computer engineering, 2012, 38 (8): 19-21.
[6]	Wang Bo. Based on the Equilibrium Transport Resources Pricing Strategy Research [D]. Kunming: Yunnan University, 2011.
[7]	Lin Xiaowei, Zheng Lijuan. Research on Pricing Mechanism of Cloud Services [J]. Pricing Theory and Practice, 2014, (08): 110-112.
[8]	Chen Jiangtao, Zhang Jinlong, Zhang Yajun. Cloud Computing IT Service Pricing Research Review and Prospects based on Prospect [J]. Science and Technology Management Research, 2014, (10): 154-158.
[9]	Yu Hui, Liu Zhengwei, Liu Junpeng, Guo Feng. Research on the Accounting Model of Cloud Computing [J]. Information Technology and Standardization, 2014, (03): 32-35+38.
[10]	Samuel. Cloud Computing Services Business Model of Pricing Mechanism Study [J]. Journal of Guangdong Communication Technology, 2012, 05: 11-15.
[11]	Dou Yifan. "Cloud Computing" Model, the Optimal Pricing Strategy Analysis Software [A]. China Optimization Program Evaluation and Review Technique and Economic Mathematics Research Institute, Chinese Academy of Sciences Institute of Science and Technology Policy and Management Science, Chinese Journal of Management Sciences, Newsroom. The 13th China Management Science Academic Essays, 2011-6.
[12]	Wu Lianggang, Xiao Yongbo. Two Common Cloud Computing Service Pricing Mechanism of Contrast Research [J]. Computer Application Research, 2016, (01): 122-125.
[13]	Li Chunlan, Deng Zhonghua, Zhang Wenping. Cloud Service Pricing Strategy Analysis [J]. Journal of Library and Intelligence, 2013. (01): 36-41.
[14]	Li X, Gu B, Zhang C, et al. Price Competition in a Duopoly IaaS Cloud Market[C]// Asia-Pacific Network Operations and Management Symposium. 2014: 1-4.
[15]	Wei L, Yang X. Revenue Sharing Contract in a Cloud Computing Service Supply Chain with a Monopoly AIP and Multiple Competing asps under asymmetric Information[C]// International Conference on Service Systems and Service Management. IEEE, 2015.
[16]	Zhang Rui, Song Xiangling, Tang Bingyong. Cloud Computing Service Pricing Strategy based on Two-phase Charge Study [J]. Journal of Natural Science of Heilongjiang University, 2013, 11: 157-163.
[17]	Chen Donglin, Chen Ling. Cloud IaaS Spot Instance Pricing Method Research [J]. Computer Engineering and Design, 2013, 10, 3366-3370.
[18]	Marian Mihalescu, Yong Meng Teo. On Economic and Computational-efficient Resource Pricing in Large Distributed systems[C]//10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010: 838-843
[19]	Sewook Wee. Debunking Real-time Pricing in Cloud Computing[C]//11th IEEE/ACM International Symposium on Cluster, Cloud and gird Computing, 2011: 585-590
[20]	Yeo C S, Venugopal S, Chu X, et al. Autonomic Metered Pricing for a Utility Computing Service [J]. Future Generation Computer Systems, 2010, 26(8): 1368-1380.
[21]	Li Yue, Wang Nianxin, Ge Shilun. Cloud IaaS Service Pricing Mechanism Simulation [J]. Computer and Modern, 2014, (11): 20 to 26.
[22]	Wu Lihua, Zhang Yu. Cloud Computing Services based on Customer Perceived Value Dynamic Pricing Strategy Optimization Method [J]. Computer and Digital Engineering, 2013, (41): 244-246.
[23]	Guo Wan, Zhang Xiao. An IaaS Dynamic Pricing Model Based on Combining SLA and ROI [J]. Journal of Computer Research and Development, 2014, (S1): 86-90.
[24]	Wang D, Wang Y, Liu J, et al. Pricing Reserved and On-Demand Schemes of Cloud Computing based on Option Pricing Model[C]// Network Operations and Management Symposium (APNOMS), 2013 15th Asia-Pacific. 2013: 1-3.
[25]	Yuan Zhekai, Ge S, Wang N. IaaS Cloud Computing Services Pricing based on BSM Model [J]. Computer Application Research, 2014, (11): 3344-3348 + 3356.

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APA Style

Ruijie Zhao, Yu Zhao. (2016). The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory. Science Journal of Business and Management, 4(3), 102-107. https://doi.org/10.11648/j.sjbm.20160403.16

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ACS Style

Ruijie Zhao; Yu Zhao. The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory. Sci. J. Bus. Manag. 2016, 4(3), 102-107. doi: 10.11648/j.sjbm.20160403.16

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AMA Style

Ruijie Zhao, Yu Zhao. The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory. Sci J Bus Manag. 2016;4(3):102-107. doi: 10.11648/j.sjbm.20160403.16

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@article{10.11648/j.sjbm.20160403.16,
  author = {Ruijie Zhao and Yu Zhao},
  title = {The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory},
  journal = {Science Journal of Business and Management},
  volume = {4},
  number = {3},
  pages = {102-107},
  doi = {10.11648/j.sjbm.20160403.16},
  url = {https://doi.org/10.11648/j.sjbm.20160403.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20160403.16},
  abstract = {The application of cloud computing is conducive to the efficient allocation of resources and cost reduction. With the vigorous development of cloud technology, more and more enterprises have involved in cloud services, so the competition among providers is increasingly fierce. How to formulate a reasonable price strategy is one of the current matters urgently needing solved for the long term benefit of the market. Only by establishing the good pricing strategy can enterprises better seize market and build a stable customer relationship. Based on the concept of cloud computing, this paper makes a brief comment on the study of the literature of the three types of pricing mechanisms in the business life cycle of cloud computing. It is pointed out that dynamic pricing can better meet the interests of both sides of supply and demand and become the main trend of future pricing. Future research needs to study the characteristics of the cloud service life cycle from the cloud services industry. Consider the long-term benefits of customers and suppliers, and develop dynamic pricing mechanism.},
 year = {2016}
}

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TY  - JOUR
T1  - The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory
AU  - Ruijie Zhao
AU  - Yu Zhao
Y1  - 2016/06/13
PY  - 2016
N1  - https://doi.org/10.11648/j.sjbm.20160403.16
DO  - 10.11648/j.sjbm.20160403.16
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JO  - Science Journal of Business and Management
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PB  - Science Publishing Group
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AB  - The application of cloud computing is conducive to the efficient allocation of resources and cost reduction. With the vigorous development of cloud technology, more and more enterprises have involved in cloud services, so the competition among providers is increasingly fierce. How to formulate a reasonable price strategy is one of the current matters urgently needing solved for the long term benefit of the market. Only by establishing the good pricing strategy can enterprises better seize market and build a stable customer relationship. Based on the concept of cloud computing, this paper makes a brief comment on the study of the literature of the three types of pricing mechanisms in the business life cycle of cloud computing. It is pointed out that dynamic pricing can better meet the interests of both sides of supply and demand and become the main trend of future pricing. Future research needs to study the characteristics of the cloud service life cycle from the cloud services industry. Consider the long-term benefits of customers and suppliers, and develop dynamic pricing mechanism.
VL  - 4
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Author Information

Ruijie Zhao

School of Business Administration, South China University of Technology, Guangzhou, China
Yu Zhao

School of Civil Engineering, Zhengzhou University, Zhengzhou, China

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APA Style

Ruijie Zhao, Yu Zhao. (2016). The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory. Science Journal of Business and Management, 4(3), 102-107. https://doi.org/10.11648/j.sjbm.20160403.16

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ACS Style

Ruijie Zhao; Yu Zhao. The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory. Sci. J. Bus. Manag. 2016, 4(3), 102-107. doi: 10.11648/j.sjbm.20160403.16

Copy | Download

AMA Style

Ruijie Zhao, Yu Zhao. The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory. Sci J Bus Manag. 2016;4(3):102-107. doi: 10.11648/j.sjbm.20160403.16

Copy | Download

@article{10.11648/j.sjbm.20160403.16,
  author = {Ruijie Zhao and Yu Zhao},
  title = {The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory},
  journal = {Science Journal of Business and Management},
  volume = {4},
  number = {3},
  pages = {102-107},
  doi = {10.11648/j.sjbm.20160403.16},
  url = {https://doi.org/10.11648/j.sjbm.20160403.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjbm.20160403.16},
  abstract = {The application of cloud computing is conducive to the efficient allocation of resources and cost reduction. With the vigorous development of cloud technology, more and more enterprises have involved in cloud services, so the competition among providers is increasingly fierce. How to formulate a reasonable price strategy is one of the current matters urgently needing solved for the long term benefit of the market. Only by establishing the good pricing strategy can enterprises better seize market and build a stable customer relationship. Based on the concept of cloud computing, this paper makes a brief comment on the study of the literature of the three types of pricing mechanisms in the business life cycle of cloud computing. It is pointed out that dynamic pricing can better meet the interests of both sides of supply and demand and become the main trend of future pricing. Future research needs to study the characteristics of the cloud service life cycle from the cloud services industry. Consider the long-term benefits of customers and suppliers, and develop dynamic pricing mechanism.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory
AU  - Ruijie Zhao
AU  - Yu Zhao
Y1  - 2016/06/13
PY  - 2016
N1  - https://doi.org/10.11648/j.sjbm.20160403.16
DO  - 10.11648/j.sjbm.20160403.16
T2  - Science Journal of Business and Management
JF  - Science Journal of Business and Management
JO  - Science Journal of Business and Management
SP  - 102
EP  - 107
PB  - Science Publishing Group
SN  - 2331-0634
UR  - https://doi.org/10.11648/j.sjbm.20160403.16
AB  - The application of cloud computing is conducive to the efficient allocation of resources and cost reduction. With the vigorous development of cloud technology, more and more enterprises have involved in cloud services, so the competition among providers is increasingly fierce. How to formulate a reasonable price strategy is one of the current matters urgently needing solved for the long term benefit of the market. Only by establishing the good pricing strategy can enterprises better seize market and build a stable customer relationship. Based on the concept of cloud computing, this paper makes a brief comment on the study of the literature of the three types of pricing mechanisms in the business life cycle of cloud computing. It is pointed out that dynamic pricing can better meet the interests of both sides of supply and demand and become the main trend of future pricing. Future research needs to study the characteristics of the cloud service life cycle from the cloud services industry. Consider the long-term benefits of customers and suppliers, and develop dynamic pricing mechanism.
VL  - 4
IS  - 3
ER  -

Copy | Download