Cloud Program with a Pricing Strategy for Iaas in Cloud Computing

Author(s):  
Xing Wu ◽  
Ming Chao Wang ◽  
Wu Zhang ◽  
Yike Guo
2014 ◽  
Vol 668-669 ◽  
pp. 1615-1620
Author(s):  
Yu Yang ◽  
Hua Zhou ◽  
Jun Hui Liu ◽  
Yun Feng

With the gradual development of Cloud Computing, the model of work and business will fundamentally change in the future. Current market trading mechanism under the cloud computing environment is lacking in flexibility and most of companies adopt a fixed-rate pricing model, which is difficult to meet the different needs of users. Based on cloud bank model, this paper introduces economic theory to provide a theoretical basis for the development of resource prices and propose a dynamic pricing strategy and maximize utility resource selection strategy based on market supply and demand and credit for cloud bank. In the last part of this paper, we use simulation platform to do a simple experiment to test this dynamic pricing strategy. Experiment result shows the pricing strategy could adjust computing resource prices automatically under the general market price rule conditions and maximize utility resource selection strategy could get the max utility for resource consumers.


Author(s):  
Ludwig Dierks ◽  
Sven Seuken

In many markets, like electricity or cloud computing markets, providers incur large costs for keeping sufficient capacity in reserve to accommodate demand fluctuations of a mostly fixed user base. These costs are significantly affected by the unpredictability of the users' demand. Nevertheless, standard mechanisms charge fixed per-unit prices that do not depend on the variability of the users' demand. In this paper, we study a variance-based pricing rule in a two-provider market setting and perform a game-theoretic analysis of the resulting competitive effects. We show that an innovative provider who employs variance-based pricing can choose a pricing strategy that guarantees himself a higher profit than using fixed per-unit prices for any individually rational response of a provider playing a fixed pricing strategy. We then characterize all equilibria for the setting where both providers use variance-based pricing strategies. We show that, in equilibrium, the providers' profits may increase or decrease, depending on their cost functions. However, social welfare always weakly increases.


2013 ◽  
Vol 798-799 ◽  
pp. 703-707
Author(s):  
Hong Sun ◽  
Qian Wei Tu ◽  
Xiao Wan Wang ◽  
Jian Hong Zhang ◽  
Qian Zhong Wu ◽  
...  

In this paper, different mathematics models are applied to research the reasonable pricing of the cloud computing software products on the SaaS platform and explore the sales price of the cloud computing software products with the maximum total profits. These information can be the reference for decision-makers to determine the pricing strategy. The aim of this paper is for the cloud computing company to provide the majority of users with the inexpensive and excellent softwares and services, which can make the company dominate the cloud computing market quickly, gain the huge profits in the sustainable development manner and consider the interests of the company, users and the society.Keywords: clouding computing, SaaS, pricing and charging, mathematical analysis


2015 ◽  
Vol 78 ◽  
pp. 80-92 ◽  
Author(s):  
Jianhui Huang ◽  
Robert J. Kauffman ◽  
Dan Ma

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