A combinatorial double auction model for cloud computing based on the average price of cloud resource packages

被引：0

作者：

Zong X. ^{[1
]}

Zhang T. ^{[1
]}

Wang Y. ^{[1
]}

Li L. ^{[1
]}

机构：

[1] School of Computer Science & Information Engineering, Zhejiang Gongshang University, Hangzhou, 310018, Zhejiang

来源：

International Journal of Simulation: Systems, Science and Technology | 2016年 / 17卷 / 44期

关键词：

CDATM; Cloud computing service; Combinatorial double auction; Pricing;

D O I：

10.5013/IJSSST.a.17.44.38

中图分类号：

学科分类号：

摘要：

At present, the cloud computing market is a competitive market where the information is asymmetric. There are multiple providers and users participating in cloud service transactions. But market monopolization and providers excessively pursuing maximal interests pose urgent problems. In order these problems, this paper proposes a model named CDATM. First it analyzes the advantages and disadvantages of two pricing models: the double auction and combinatorial auction. Then it uses a KPricing Scheme to distribute the market surplus to buyers and providers in a ratio of 1:2. Combining the cloud resources’ characteristics of complementary, this paper describes the combinatorial double auction of cloud service problem as a 0-1 integerprogramming problem, then matches resources and price the cloud products after sorting the resource packages’ average price. Secondly, this paper improves the utility of buyers and providers in the algorithm implementation, so as to get the CDATM model based on the average price of the cloud service combination. Finally, through a comparative analysis using simulation, the validity of the model is verified from the perspective of utility, transaction rate, price stability and supply-demand relationship. © 2016, UK Simulation Society. All rights reserved.

引用

页码：38.1 / 38.6

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