The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory
Science Journal of Business and Management
Volume 4, Issue 3, June 2016, Pages: 102-107
Received: May 18, 2016;
Accepted: May 28, 2016;
Published: Jun. 13, 2016
Views 2943 Downloads 72
Ruijie Zhao, School of Business Administration, South China University of Technology, Guangzhou, China
Yu Zhao, School of Civil Engineering, Zhengzhou University, Zhengzhou, China
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.
The Development of Cloud Computing Service Pricing—Based on the Life Cycle Theory, Science Journal of Business and Management.
Vol. 4, No. 3,
2016, pp. 102-107.
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
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.
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.
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.
Hu Zhigang, liu yan. Cloud Environment Dynamic Resource Pricing based on Combined Double Auction [J]. Computer engineering, 2012, 38 (8): 19-21.
Wang Bo. Based on the Equilibrium Transport Resources Pricing Strategy Research [D]. Kunming: Yunnan University, 2011.
Lin Xiaowei, Zheng Lijuan. Research on Pricing Mechanism of Cloud Services [J]. Pricing Theory and Practice, 2014, (08): 110-112.
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.
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.
Samuel. Cloud Computing Services Business Model of Pricing Mechanism Study [J]. Journal of Guangdong Communication Technology, 2012, 05: 11-15.
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.
Wu Lianggang, Xiao Yongbo. Two Common Cloud Computing Service Pricing Mechanism of Contrast Research [J]. Computer Application Research, 2016, (01): 122-125.
Li Chunlan, Deng Zhonghua, Zhang Wenping. Cloud Service Pricing Strategy Analysis [J]. Journal of Library and Intelligence, 2013. (01): 36-41.
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.
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.
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.
Chen Donglin, Chen Ling. Cloud IaaS Spot Instance Pricing Method Research [J]. Computer Engineering and Design, 2013, 10, 3366-3370.
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
Sewook Wee. Debunking Real-time Pricing in Cloud Computing[C]//11th IEEE/ACM International Symposium on Cluster, Cloud and gird Computing, 2011: 585-590
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.
Li Yue, Wang Nianxin, Ge Shilun. Cloud IaaS Service Pricing Mechanism Simulation [J]. Computer and Modern, 2014, (11): 20 to 26.
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.
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.
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.
Yuan Zhekai, Ge S, Wang N. IaaS Cloud Computing Services Pricing based on BSM Model [J]. Computer Application Research, 2014, (11): 3344-3348 + 3356.