Resource Management in Cloud Computing with Optimal Pricing Policies

被引:0
|
作者
Zhang, Haiyang [1 ]
Chen, Guolong [2 ]
Li, Xianwei [2 ,3 ]
机构
[1] Suzhou Univ, Sch Environm & Geomat Engn, Suzhou, Anhui, Peoples R China
[2] Suzhou Univ, Sch Informat Engn, Suzhou, Anhui, Peoples R China
[3] Waseda Univ, Global Informat & Telecommun Inst, Tokyo, Japan
来源
COMPUTER SYSTEMS SCIENCE AND ENGINEERING | 2019年 / 34卷 / 04期
基金
美国国家科学基金会;
关键词
cloud computing; cloud resources; pricing scheme; revenue;
D O I
10.32604/CSSE.2019.34.249
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
As a new computing paradigm, cloud computing has received much attention from research and economics fields in recent years. Cloud resources can be priced according to several pricing options in cloud markets. Usage-based and reserved pricing schemes are commonly adopted by leading cloud service providers (CSPs) such as Amazon and Google. With more and more CSPs entering cloud computing markets, the pricing of cloud resources is an important issue that they need to consider. In this paper, we study how to segment cloud resources using hybrid pricing schemes in order to obtain the maximum revenue by means of optimal pricing schemes in what is a largely monopolized cloud market. We first study how the revenue of a cloud provider can be maximised using an on-demand pricing scheme. We then turn to the study of revenue maximization with a reserved pricing scheme and, finally, we compare the revenues obtained from the two pricing schemes.
引用
收藏
页码:249 / 254
页数:6
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