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Competitive Cloud Pricing for Long-Term Revenue Maximization

文献类型：期刊论文

作者Qin, Tao2; Rong, Jiang3,4; An, Bo1
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2019-05-01
卷号34期号:3页码:645-656
ISSN号1000-9000
关键词cloud computing Markov perfect equilibrium game theory revenue maximization
DOI10.1007/s11390-019-1933-9
英文摘要We study the pricing policy optimization problem for cloud providers while considering three properties of the real-world market: 1) providers have only incomplete information about the market; 2) it is in evolution due to the increasing number of users and decreasing marginal cost of providers; 3) it is fully competitive because of providers' and users' revenuedriven nature. As far as we know, there is no existing work investigating the optimal pricing policies under such realistic settings. We first propose a comprehensive model for the real-world cloud market and formulate it as a stochastic game. Then we use the Markov perfect equilibrium (MPE) to describe providers' optimal policies. Next we decompose the problem of computing the MPE into two subtasks: 1) dividing the stochastic game into many normal-formal games and calculating their Nash equilibria, for which we develop an algorithm ensuring to converge, and 2) computing the MPE of the original game, which is efficiently solved by an algorithm combining the Nash equilibria based on a mild assumption. Experimental results show that our algorithms are efficient for computing MPE and the MPE strategy leads to much higher profits for providers compared with existing policies.
WOS研究方向Computer Science
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000468036000012
源URL[http://119.78.100.204/handle/2XEOYT63/4233]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Rong, Jiang
作者单位1.Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore 639798, Singapore
2.Microsoft Res Asia, Beijing 100080, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Tao,Rong, Jiang,An, Bo. Competitive Cloud Pricing for Long-Term Revenue Maximization[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2019,34(3):645-656.
APA Qin, Tao,Rong, Jiang,&An, Bo.(2019).Competitive Cloud Pricing for Long-Term Revenue Maximization.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,34(3),645-656.
MLA Qin, Tao,et al."Competitive Cloud Pricing for Long-Term Revenue Maximization".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 34.3(2019):645-656.

入库方式： OAI收割

来源：计算技术研究所

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